Accelerant is a data-driven risk exchange connecting specialty insurance underwriters with risk capital providers. Founded in 2018 by a group of longtime insurance industry executives and technology experts, our vision is to rebuild the way risk is exchanged – so that it works better, for everyone. 

For the underwriters we call Members, we deliver a full service offering that includes insights and analytics, distribution management, operational resources, and stable underwriting capacity. Our approach frees our Members to focus on profitable underwriting while growing their businesses. Our portfolio presents attractive, validated, and diversified source of specialty insurance premium to our risk capital provider partners.

Industry: Insurance
Company Size: 201-500 employees

Accelerant

Savvy Admin PROD

**Data Engineer (Data Platform) **

Location - candidates must be based on EST timezone but the role is remote first, either in the United States or Canada.

Job Description

At Accelerant, we're not just keeping pace with technological advancements, we're leading the charge. As we refine and expand our operations, we're looking for a forward-thinking Data Engineer to join our dynamic team.

As a Data Engineer, you will take on a central role in constructing and optimizing our robust data platform. This platform is at the heart of our operations—it drives our SaaS platform, underpins our internal analytics, and fuels our operational systems.

In this role, you'll have the unique opportunity to design and build solutions that don't just deliver insights but lay the foundation for Accelerant's success in the digital landscape. Whether it's shaping unique selling propositions or pushing the boundaries of what our technology can do, your work will influence every corner of our organization.

This is within a Platform team, building infrastructure to support other Data Engineers across the organisation.

Key Responsibilities

- Analyse and ingest new datasets from varied sources

- Design, build, and support cloud infrastructure

- Design, build, and support AI and ML processes and infrastructure

- Design and build modern, metadata driven data pipelines and data streams

- Design and build data service APIs

- Transform and cleanse complex datasets

- Analyse current business practices, processes and procedures

- Implement effective metrics and monitoring processes

- A commitment to learning and sharing knowledge

Required Skills/Experience

- Proven track record as a Data Engineer or Platform Engineer within a Data environment.

- Experience with Infrastructure as Code / Terraform

- Experience of developing in AWS, Snowflake, SQL, Python

- Experience with DataOps methodologies, tools, and processes.

- Comfortable applying AI tools to real engineering problems — whether that's automating data quality checks, accelerating pipeline development, or augmenting monitoring with LLM-based insights

Data Engineer (Data Platform)

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you have the opportunity to create something exceptional, build something sustainable and make a real impact. We are BUILT FOR THE WILD™.

Industry: Manufacturing
Company Size: 501-1,000 employees

YETI

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you’ll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you’ll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI’s enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is critical to enabling modern analytics, advanced reporting, and data-driven decision-making across the enterprise. This position offers an extremely rare and unique opportunity to join a highly profitable, fast-growing business.

This role requires a blend of skills typically found in the specialized roles of Data Modeler, Data Architecture, Data Analyst, and Administration of Data tools. Additionally, having experience in agile development, and how to balance the need to maintain operations versus the need to build things the right way is an absolute must.

**Responsibilities**

- Work with business customers and data analysts to define detailed requirements from broader business challenges

- Translate those requirements to logical and physical models that satisfy analytical needs

- Design and build scalable ELT/ETL pipelines using Google Stored Procedures in BigQuery, Databricks, Spark, Airflow/Google Composer and Google Dataflow

- Lead development of analytical data models using Databricks and Google BigQuery

- Integrate SAP data sources including SAP HANA and S/4HANA

- Optimize data performance of Google Vertex AI engineering and ML pipelines

- Partner with business and analytics teams to translate requirements into technical solutions

- Enforce data quality, reliability, and governance best practices

- Perform data profiling and analysis to assess data quality patterns, recommend data cleansing rules, conforming data standard rules and matching algorithms

- Build Data pipelines for SAP and non-SAP data sources to load into BigQuery

- Own the data infrastructure of our existing Google BigQuery Data warehouse and other related GCP services

- Assist ETL and BI developers with complex query tuning and schema refinement

**Qualifications And Attributes**

- Bachelor’s degree in computer science or related discipline

- At least 8 years of experience in data engineering primarily in Google BigQuery and intermediate skills in Databricks.

- Expert in writing, analyzing and tuning complex SQL queries

- Extensive experience with Python programming

- Hands-on experience in GCP BigQuery, Google Airflow, Dataflow and Databricks.

- Must have a good understanding of Dimensional Modeling and ER-Modeling

- Candidates should demonstrate openness to adopting unfamiliar tools and acquiring proficiency in new programming languages.

- Strong problem-solving ability and a positive attitude

- Experience in extracting data from SAP HANA and Salesforce tools

- Experience/Knowledge of SAP Datasphere is a huge plus.

- Experience with Java and NodeJS

- Terraform, Docker, and CI/CD experience preferred

LW1

**Benefits & Perks**

Click here to learn about the benefits and perks we offer at YETI.

**YETI is proud to be an Equal Opportunity Employer.**

~~Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.~~

~~All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.~~

YETI Applicant Privacy Notice

~~YETI welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation in order to apply for a job, please contact us at accommodationrequest@yeti.com. ~~

Sr. Data Engineer

RemoteHunter is your dedicated AI job search assistant, turning the job hunt from a slow, individual effort into a quicker, smarter, and guided experience by streamlining each step of the process and speeding up your path to the right career opportunities.

Industry: Software Development
Company Size: 11-50 employees

RemoteHunter

1. About Our Client:This organization operates in the grocery industry, focusing on the complex challenge of managing fresh food. Using proprietary AI developed for high-volatility environments, the program supports major grocery partners in making smarter decisions across their enterprises. After a 70% revenue growth in 2025, it has expanded to six enterprise-grade solutions, deployed across more than 10% of the U.S. grocery market. The platform handles billions of decisions daily, from store floors to distribution centers, and has helped prevent over 200 million pounds of food waste in the past year.

2. About the Opportunity:The Senior Data Engineer will be instrumental in enhancing the integration and processing of customer data. This role involves designing and implementing ETLs to handle large volumes of data and building tools to accelerate, improve accuracy, and scale customer integrations. The position also contributes to developing new platform features, directly impacting the speed and ease of customer onboarding and the effectiveness of machine learning solutions for grocery operations.

3. Responsibilities:• Build tools and frameworks to streamline customer integrations for faster onboarding and improved data handling

• Develop robust ETLs using PySpark and DBT to process billions of customer records with accuracy and reliability

• Research and implement new technologies to address current challenges and anticipate future platform needs

• Collaborate with product, engineering, and go-to-market teams to create data solutions for new features

• Optimize ETL runtimes and data processing scalability to reduce integration time and effort

• Address data quality issues by working with incomplete or inconsistent customer data to extract reliable insights

• Mentor engineers, lead technical discussions, and provide clear feedback to support team development

4. Requirements:• Extensive experience designing and maintaining ETLs for large-scale datasets

• Proficiency in Python, PySpark, SQL, and familiarity with platforms/tools such as Databricks, Snowflake, or DBT

• Strong problem-solving skills with the ability to handle ambiguous or incomplete requirements

• Practical focus on delivering impactful solutions balancing technical rigor and efficiency

• Experience managing complex, unclean datasets with innovative processing approaches

• Ability to identify automation opportunities that simplify workflows and reduce manual effort

• Excellent communication skills for both technical and non-technical audiences

• Demonstrated leadership in technical projects and willingness to mentor others

5. Pay Range and Compensation Package:• Salary Range in U.S.: $156,000 - $211,000

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

Senior Data Engineer

Launched in 2011 as ZenPayroll, Gusto serves more than 300,000 businesses nationwide. Each year we process tens of billions of dollars of payroll and provide employee benefits—like health insurance and 401(k) accounts—while helping companies create incredible work places.

Through one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.

Industry: Software Development
Company Size: 1,001-5,000 employees

Gusto

**About Gusto**

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

**Preferred Qualifications**

- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products

- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)

- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.

- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.

- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.

- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems

- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines

- Proven ability to optimize performance and cost across data workflows and storage systems

- Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks

- Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.

- Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately **2-3 days **per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

AscentDS is a leading private lending and institutional debt platform offering customized financing solutions to top-tier single- and multi-family developers and investors. AscentDS was founded in 2024 by Robert Wasmund to capitalize on a multi-billion-dollar market opportunity to provide short-term secured loans for the acquisition, renovation and construction of single-family, homebuilder, and multi-family properties, along with post-completion bridge financing. The company leverages the management team’s long-term relationships with highly sophisticated borrowers, a proven track record of success building and scaling private loan origination platforms, a best-in-class construction management team, and proprietary software and data product suites to offer its borrowers an efficient and streamlined advantage.

Industry: Financial Services
Company Size: 11-50 employees

Ascent Developer Solutions

**About Ascent**

Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies.

**The Role:**

We are seeking a skilled and motivated Senior Data Engineer to join our growing real estate data and analytics team. In this role, you will be a key driver of our strategic migration from Databricks to Snowflake, building the scalable, cloud-native data infrastructure that powers property analytics, market intelligence, and business reporting.

The ideal candidate brings deep hands-on experience with Snowflake, Azure cloud services, PySpark, Python, and SQL, combined with a genuine understanding of real estate data — from property records and transaction data. You will work cross-functionally with data analysts, data scientists, and business stakeholders to ensure our data platforms are reliable, performant, and trusted across the organization.

Core technology stack:

**Snowflake**

**Azure Data Factory**

**Azure Data Lake**

**PySpark**

**Python**

**SQL**

**FastAPI**

**React**

**Databricks**

**Azure Synapse**

**Git / CI/CD**

**REST APIs**

**Key Responsibilities:**

- **Snowflake **4+ years of hands-on experience with

- **Snowflake: **expertise in data modeling, performance tuning, Snowpark, tasks, streams, and dynamic tables

- **Databricks / PySpark: **2+ years working with Apache Spark for large-scale data processing

- **Python: **4+ years building production-grade data engineering solutions

- **SQL: **strong proficiency in complex querying, performance tuning, and data warehouse design

- **FastAPI: **2+ years building and deploying RESTful APIs with FastAPI or similar Python frameworks (Flask, Django REST); experience with async patterns, authentication, and API versioning

- **React: 2+ year **working knowledge of React for building internal data tools, dashboards, comfort with hooks, state management, and consuming REST APIs

- **Azure Cloud: **hands-on experience with Azure Data Factory, Azure Data Lake Storage, and Azure Synapse

- **Real Estate Domain: **understanding of real estate data structures, MLS systems, property data, and related workflows

- Solid understanding of ETL/ELT processes, data modeling methodologies (Kimball, Data Vault), and performance tuning

- Experience with version control (Git) and CI/CD pipeline automation

- Demonstrated ability to work independently on complex, ambiguous migration, and modernization projects

Preferred Qualifications:

- Experience with Delta Lake, including migration patterns from Delta to Snowflake

- Knowledge of dbt (data build tool) for transformation workflows

- Familiarity with real estate data providers such as CoStar, ATTOM, CoreLogic, or Zillow APIs

**The Pay**

Salary range is $120,000-$130,000 with a discretionary bonus of up to 20% per year

**The Work Environment**

- This role works on-site from Ascent's Encino offices 2-3 days/week and remotely from southern California otherwise.

- Full-time, 40 hours per week; must be available for occasional overtime.

- Some nights and weekends required.

**Our Benefits**

We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include five health plans, two dental plans, health savings and flexible spending accounts, vision coverage, a 401(k) plan, and other optional benefits from which to choose.

**Our Pledge**

We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

We are seeking an experienced Senior Data Engineer to serve as the onshore technical lead for the EXL augmented support team. In this role, you will lead a team of 6–8 Data Engineers (onshore/offshore) through the full repointing lifecycle: SQL syntax conversion (Teradata to Snowflake), Airflow variable and connection updates, script modification, parallel run validation, and production cutover.

**KEY RESPONSIBILITIES **

**Repointing Execution & Delivery **

- Lead script-level repointing across 593 downstream scripts (PySpark, BTEQ, Shell, SQL, IICS, SSIS) and 154 Databricks MLOps scripts from Teradata/SQL Server/Minio to Snowflake.

- Execute SQL syntax conversion for Teradata BTEQ scripts to Snowflake-compatible SQL, leveraging utility frameworks provided by the SI Partner (Infosys).

- Drive Airflow variable and connection updates across all migrated workflows, ensuring pipelines point to Snowflake endpoints post-cutover.

- Manage the script modification and change management process, coordinating production-to-parallel sync within the required 1-business-day SLA.

- Own the deployment and sign-off process for each migration wave, maintaining runbooks and go/no-go checklists per domain group.

- Manage data copy requests for Minio-related assets and coordinate initial load and incremental sync activities with the SI Partner.

**Team Leadership **

- Lead and coordinate a team of 6–8 Data Engineer I and Data Engineer II resources (onshore and offshore) across parallel migration workstreams.

- Assign scripts per complexity band (S/M/L) to team members, track daily progress against the LOE estimates, and escalate blockers promptly.

- Review code changes, validate SQL conversion quality, and enforce engineering standards before submission to EBI team for review.

- Mentor junior engineers on Snowflake-specific constructs (virtual warehouses, stages, Snowpark, streams & tasks) and Teradata-to-Snowflake syntax differences.

- Conduct daily stand-ups and provide weekly migration status reports to the Program Manager and client stakeholders.

**REQUIRED SKILLS & EXPERIENCE **

**Technical Skills (Must Have) **

- 8+ years of data engineering experience; minimum 3 years hands-on with Snowflake (architecture, SQL dialect, performance tuning, RBAC).

- Proven experience migrating Teradata workloads to Snowflake — including BTEQ/ANSI SQL translation, macro conversion, and stored procedure migration.

- Strong PySpark and Python skills; experience working with Databricks is required (MLOps pipelines a strong plus).

- Working knowledge of Apache Airflow — DAG management, variable configuration, connection updates across environments.

- Familiarity with IICS (Informatica Intelligent Cloud Services) and/or SSIS (.dtsx) pipelines in a migration context.

- Solid understanding of data lake and object store patterns (Minio, S3, ADLS) and how they integrate with Snowflake external stages.

- Experience with SQL Server, Teradata, and/or Netezza as source platforms is required.

- Strong Git proficiency; experience with CI/CD pipelines and code change coordination across environments (dev → parallel → prod).

**Delivery & Leadership Skills **

- Proven experience leading a team of 5+ engineers in a fast-paced, time-bound migration or repointing program.

- Ability to manage scope across complexity bands (S/M/L scripts) and balance team capacity against tight delivery timelines.

- Strong stakeholder management — able to communicate migration status, risks, and escalation paths clearly to both technical and business audiences.

- Experience working in a client-facing consulting or managed services model is strongly preferred.

- Comfortable coordinating with an SI Partner — understanding scope boundaries, handoff points, and utility dependencies without micromanaging.

**PREFERRED BACKGROUND **

- Domain experience in US Telecom — CDR processing, subscriber data, network inventory, or revenue assurance datasets aligned to EBI workloads (NRD, Compensation, TechOps, CB, etc.).

- Snowflake SnowPro Core or Advanced Data Engineer certification.

- Prior experience delivering migrations , consulting firm, or analytics-driven managed services engagement.

- Exposure to data observability and reconciliation tooling (Great Expectations, Monte Carlo, or custom validation frameworks).

- Familiarity with Snowflake Snowpark, Streams & Tasks, or Dynamic Tables for replacing legacy Teradata batch patterns.

- Experience with Databricks Unity Catalog or MLOps frameworks in an enterprise telecom context.

**WHAT WE'RE LOOKING FOR **

A hands-on technical lead who can walk into a live migration program, immediately understand script-level complexity, own execution accountability, and keep a distributed team moving at pace — without needing the SI Partner to hold their hand.

- Someone who can read a Teradata BTEQ script and a Snowflake execution plan in the same breath.

- A communicator who can run a 15-minute daily sync with EBI stakeholders and translate yesterday’s reconciliation failures into a clear resolution path.

- A professional who understands the rhythm of parallel run validation — tolerates expected data mismatches, drives iterative reconciliation, and knows when to escalate versus resolve.

Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries.

Industry: تطوير البرامج
Company Size: ٥١ - ٢٠٠ من الموظفين

YO IT Consulting

**Job Type: ** Contractor

**Location: ** Remote

Role Description

If you’re a senior Data Engineer who thrives on precision, systems thinking, and building reliable data foundations, this is a unique opportunity to contribute directly to how the next generation of AI systems reason about data infrastructure, pipelines, and analytics workflows. We’re looking for experienced Data Engineers who understand modern data stacks, ETL/ELT architecture, orchestration, data modeling, warehouse design, quality validation, governance, and production-scale reliability.Your work will help strengthen how AI models reason through complex data engineering scenarios, identify technical errors, and communicate implementation guidance clearly.

Your Profile

- 4+ years of professional experience in data engineering, with significant hands-on work designing, building, and maintaining production-grade data pipelines.

- Deep knowledge of SQL, data modeling, ETL/ELT architecture, orchestration frameworks, warehouse/lakehouse patterns, and modern data stack tools such as dbt, Airflow, Snowflake, BigQuery, Databricks, Fivetran, or similar platforms.

- Strong understanding of distributed data systems, batch and streaming workflows, schema design, data validation, data observability, lineage, and pipeline reliability.

- Proven experience optimizing complex SQL queries, troubleshooting data quality issues, designing scalable transformations, and supporting analytics or machine learning-ready datasets.

- Demonstrated experience in translating ambiguous business or technical requirements into reliable data models, pipeline designs, and implementation plans.

- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, Engineering, or a related technical field; equivalent professional experience will also be considered.

- Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.

Key Responsibilities

- Evaluate AI-generated answers to data engineering prompts for technical accuracy, completeness, clarity, and real-world feasibility.

- Challenge advanced language models with complex Data Engineer scenarios involving SQL, Python, ETL/ELT design, orchestration, warehousing, data modeling, and pipeline reliability.

- Review and refine AI-generated prompts, responses, rubrics, and reference answers to ensure they reflect senior-level data engineering judgment.

- Provide structured feedback that identifies incorrect assumptions, missing constraints, weak reasoning, inefficient implementations, or unsafe recommendations.

- Shape AI communication standards by helping models explain data architecture, debugging steps, tradeoffs, and implementation patterns clearly and responsibly.

- Support benchmarking efforts by evaluating model performance across realistic data engineering workflows, edge cases, and failure modes.

- Develop and review high-quality examples that demonstrate strong reasoning around pipeline design, data quality checks, data contracts, schema evolution, and system scalability.

Data Engineer – Remote

At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.

PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

Industry: Professional Services
Company Size: 10,001+ employees

**Specialty/Competency: **Data, Analytics & AI

**Industry/Sector: **Not Applicable

**Time Type: **Full time

**Travel Requirements: **Up to 60%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

**Skills**

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives, needs, and feelings of others.

Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Use critical thinking to break down complex concepts.

Understand the broader objectives of your project or role and how your work fits into the overall strategy.

Develop a deeper understanding of the business context and how it is changing.

Use reflection to develop self awareness, enhance strengths and address development areas.

Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships and developing a deeper understanding of the business context, navigating increasingly complex situations, and growing your personal brand and technical knowledge.

**Responsibilities**

-  Designing and implementing thorough data architecture strategies

-  Analyzing complex issues to create innovative solutions

-  Mentoring and guiding junior team members

-  Upholding standards in project deliverables

-  Building and maintaining client relationships

-  Developing a thorough understanding of the business environment

-  Managing and navigating complex scenarios effectively

-  Enhancing personal brand and technical skills

What You Must Have

-  Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics

-  2 years of experience

What Sets You Apart

-  Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus

-  Designing and implementing thorough data architecture strategies

-  Developing and documenting data models, data flow diagrams, and data architecture guidelines

-  Maintaining data architecture compliance with data governance and data security policies

-  Collaborating with business stakeholders to understand their data requirements

-  Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage

-  Developing and deploying scalable data storage solutions using AWS, Azure and GCP services

-  Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow

-  Enhancing Cloud resources for cost, performance, and scalability

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Data Engineer - Senior Associate

Code Your Future with Industry-Ready Skills
Master in-demand technologies like .NET Full Stack, Generative AI, and Mobile App Development through hands-on projects and expert mentorship. Join thousands of learners building real-world applications and landing their dream tech jobs.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Knowvia Tech Inc

📌 Job Title: Data Analyst & Data Engineer – Microsoft Fabric Specialist

📍 Employment Type: Full-Time

🎓 Education: Master's Degree (recently completed)

📅 Experience: 4–5 Years

🏅 Certification: DP-600 – Microsoft Fabric Analytics Engineer (MANDATORY)

─────────────────────────────────────────

About the Role

We are hiring a Data Engineer with strong Microsoft Fabric expertise. You will design data pipelines, build analytical solutions, and deliver business insights using the Microsoft Fabric ecosystem.

─────────────────────────────────────────

Key Responsibilities

• Build and maintain data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks)

• Develop lakehouses and data warehouses in OneLake / Microsoft Fabric

• Design and optimize ETL/ELT processes for structured and unstructured data

• Create Power BI dashboards and reports within the Fabric ecosystem

• Write SQL, DAX, and PySpark for data transformation and analysis

• Collaborate with stakeholders to translate requirements into analytics solutions

• Ensure data quality, governance, and documentation standards

─────────────────────────────────────────

Requirements

✅ Master's degree in Data Science, CS, Information Systems, or related field

✅ 4–5 years of hands-on experience as a Data Analyst and/or Data Engineer

✅ DP-600 Certification (Microsoft Fabric Analytics Engineer) — MANDATORY

✅ Strong SQL and Python/PySpark skills

✅ Experience with Microsoft Fabric, Azure Data Lake, and Power BI

✅ Knowledge of data modeling (star schema, dimensional modeling)

─────────────────────────────────────────

Nice to Have

• Experience with Delta Lake, dbt, or Azure Synapse

• Additional certifications: DP-203, PL-300, AZ-900

• Familiarity with CI/CD pipelines for data projects (Azure DevOps / GitHub Actions)

• Knowledge of Microsoft Purview for data governance

─────────────────────────────────────────

⚠️ Applications without a valid DP-600 certification will not be considered.

Data Engineer

Founded in 2007 and headquartered in Houston, TX, our company specializes in ERP/Cloud solutions, driven by founding members with extensive Fortune 500 experience. We design custom applications to simplify enterprise application management for clients across industries and government organizations in the U.S. Our Center of Excellence emphasizes creating user-friendly software interfaces that seamlessly integrate with complex systems. By enhancing user experience and tailoring solutions, we help organizations boost productivity and achieve their ROI goals.

 

Minisoft combines expertise, innovation, and technology to help clients meet their goals. Since 2007, our leadership has expanded the team to 350+ IT professionals dedicated to delivering reliable and cost-effective solutions. We've served 50+ customers, completed 40+ projects, and built a presence in 4 countries, with offices in 2. Our commitment is to drive success through quality and efficiency.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

Minisoft Technologies LLC

**Role: Certified Palantir Architect **

**Location: Remote (USA) **

Key Responsibilities

Design develop and maintain applications and workflows on the Palantir Foundry platform Collaborate with data engineers’ analysts and business stakeholders to translate business needs into scalable data solutions Build and optimize pipelines for data ingestion transformation and visualization Ensure data governance quality and security standards are met across all Palantir based solutions

Required Skills:Experience 6 years of experience working with Palantir Foundry Strong proficiency in data modeling pipeline development and object-oriented programming eg Python Java Experience with data integration ETLELT processes and APIs Familiarity with ontology design and operational workflows within Foundry Ability to work cross functionally and communicate technical concepts to nontechnical stakeholders

Preferred Qualifications Experience in the CPG or beverage industry Experience developing Palantir models for Supply Chain use cases Knowledge Azure Databricks and modern data stack tools Background in analytics data science or business intelligence"

Thanks & Regards.

P Mahaboob Basha |Sr. Recruiter

8326210046| mahaboobp@minisofttech.com

Minisoft Technologies LLC

10333 Harwin dr Suite 375E, Houston, TX – 77036

Certified Palantir Architect

VeeRteq Solutions LLC is a leading global IT consulting and services company with offices in the US (Delaware) & Canada (British Columbia & Alberta).
Visit our AddSource page -https://www.linkedin.com/company/veerteq-inc/mycompany/  to know more about our services.
Our Services:
🔹 IT Consulting & Staff Augmentation
🔹 Project Management
🔹 HR Consulting
🔹 Business Process Outsourcing Services
As trusted partners, VeeRteq Solutions LLC collaborates with clients worldwide to conceptualize and realize technology-driven business transformation initiatives. From strategy consulting to seamless IT implementation, we assist organizations in navigating a dynamic environment where business and technology strategies converge.

Our approach revolves around combining IT innovation and leveraging existing IT assets to drive new business paradigms. As a diverse end-to-end IT solutions provider, we specialize in helping customers re-engineer and reinvent their businesses to thrive in an ever-changing marketplace. With our onsite and offshore development model, we harness local competencies to deliver global competitiveness to our clients. This enables us to ensure high-quality, on-time delivery, and significant cost reductions.

At VeeRteq Solutions LLC, we follow a low-risk model that accelerates project schedules while ensuring a high degree of time and cost predictability. Our dedicated team of experts is committed to delivering cutting-edge solutions that drive business growth and enhance competitiveness.

Join us on this transformative journey, where we combine industry expertise, innovation, and global reach to enable your business to reach new heights. Contact us today to explore how VeeRteq Solutions LLC can be your trusted partner in realizing your technology-driven aspirations.

#VeeRteqSolutionsLLC #ITConsulting #StaffAugmentation #ProjectManagement #BPOServices #BusinessTransformation #GlobalITServices #Innovation #Partnership

Industry: IT Services and IT Consulting
Company Size: 11-50 employees

VeeRteq Solutions LLC

Role: Data Engineer

Location: Chicago, IL

Work Model: Hybrid 3 Days Onsite

Interview Process: In-Person Final Round

Mandatory Skills: Databricks, SQL

**Role**

Based on the discussion and hands-on assessment, the candidate currently does not meet the expectations for this role. Please find below the observations:

Databricks: The candidate's experience with Databricks appears to be recent and primarily limited to notebook-level usage. There were challenges in confidently answering standard Databricks concepts and explaining implementation details.

Data Engineering Concepts: Limited understanding of data refresh cycles, job orchestration, and daily pipeline planning, which are critical requirements for this position.

Data Warehousing & Reporting: Hands-on exposure to data warehousing concepts, ETL processes, and reporting/data preparation appears to be minimal.

AI/ML Exposure: Although AI/ML experience was initially mentioned, it was clarified during the discussion that the exposure is limited to consuming outputs rather than hands-on development or implementation.

Hands-on Exercise: The practical exercise was not completed as expected, indicating gaps in problem-solving ability and practical application of core concepts.

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. 

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. 

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. 

In India, our offices are located in Chennai, Hyderabad and Bangalore.

Industry: Business Consulting and Services
Company Size: 1,001-5,000 employees

Tiger Analytics

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

**Requirements**

- 15+ years of Program Management experience

- Coordinating multiple projects and reconciling the interdependencies among them

- Providing strategic guidance to the company's project managers

- Monitor and adjust daily program activities as needed. Monitor key performance indicators for program and program progress

- Develop best practice, processes, and standards for effectively carrying out data migration activities, conceptual understanding of data engineering and cloud technologies

- Should have been in customer facing roles in managing large engagements

- Resolving cross-program issues and strategic issues with senior stakeholders

- Prepare reports for directors and stakeholders

- Implement strategies, oversee collaboration, and define success metrics

- Ability to Strategize and outline the goals and objectives of the program, find innovative ways to resolve problems

**Life Science Experience:**

- Should have good understanding of Pharma / Life Science domain and regulatory requirements

- Should have managed large Pharma/CRO/Med devices customers

**Benefits**

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Program Manager

Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview.

We're trusted by over 100,000+ UK-based techies, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 

100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Haystack

We're hiring on behalf of a Haystack partner!

The Role

• Dive into structured and unstructured data to transform complex datasets into useful information

• Support critical missions and leverage data for impactful solutions

• Engage with clients to understand their needs and questions

• Analyze data-rich environments and provide insights on information meaning and application

• Advise clients on how data can drive business and process decisions

• Contribute to improving IT capabilities for military programs

What You'll Need

• 4+ years of experience working with Department of the Navy clients

• 2+ years of experience with Tableau

• 2+ years of experience with programming languages such as Python, R, or SQL for data manipulation and analysis

• 2+ years of experience with data engineering in Databricks or Spark

• Experience using Power Apps (Canvas Apps) and Power Automate

• A Secret security clearance

What's On Offer

• Competitive annual salary ($61,900 - $141,000) plus potential for comprehensive benefits

• Opportunities for professional development and tuition assistance

• Support for total well-being including health, life, and retirement benefits

• Chance to work on projects that have a significant impact

Apply via Haystack today!

Data Analyst

We're hiring on behalf of a Haystack partner!

The Role

• Dive into structured and unstructured data to transform complex datasets into useful information

• Support critical missions and leverage data for impactful solutions

• Engage with clients to understand their needs and questions

• Analyze data-rich environments and provide insights on information meaning and application

• Advise clients on how data can drive business and process decisions

• Contribute to improving IT capabilities for military programs

What You'll Need

• 4+ years of experience

• 2+ years of experience with Tableau

• 2+ years of experience with programming languages such as Python, R, or SQL for data manipulation and analysis

• 2+ years of experience with data engineering in Databricks or Spark

• Experience using Power Apps (Canvas Apps) and Power Automate

• A Secret security clearance

What's On Offer

• Competitive annual salary ($61,900 - $141,000) plus potential for comprehensive benefits

• Opportunities for professional development and tuition assistance

• Support for total well-being including health, life, and retirement benefits

• Chance to work on projects that have a significant impact

Apply via Haystack today!

Knowfinity, an EdTech enterprise, champions personalized learning solutions, incubating cutting-edge programs for upskilling and guaranteed career opportunities. Rooted in a commitment to quality, Knowfinity’s emphasis is on empowering learners in data science, AI, machine learning, software testing, data analystics and Python. The company stands out by delivering tech skills ready for the future, prioritizing accessibility and comfort in acquiring essential expertise in these high-demand fields.

🌟 Our Data Science Program Features:

1️⃣ Live Doubt Sessions for interactive learning.
2️⃣ 50+ hands-on projects for practical experience.
3️⃣ Internship guaranteeing job readiness.
4️⃣ Placement aid: 5+ guaranteed interviews, unlimited support till job secured.

Industry: Education
Company Size: 2-10 employees

KNOWFINITY

We are hiring a **Data Engineer ** on behalf of one of our prestigious **Fortune 500 Healthcare clients in the United States **. This is an excellent opportunity to work on large-scale healthcare data platforms, modern cloud technologies, and enterprise-grade data engineering initiatives that directly support critical business and patient-care operations.

The ideal candidate should have hands-on experience in building scalable data pipelines, working with cloud-based data ecosystems, and supporting analytics and reporting solutions in a fast-paced enterprise environment.

**Responsibilities**

- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.

- Build and optimize data workflows using modern cloud and big data technologies.

- Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.

- Develop data integration processes across multiple healthcare and enterprise systems.

- Ensure data quality, integrity, governance, and security standards are maintained.

- Monitor and troubleshoot data pipelines and production jobs.

- Support reporting, analytics, and business intelligence initiatives.

- Participate in performance tuning and optimization of databases and data processing systems.

**Qualifications**

- 2+ years of experience as a Data Engineer or in a related data-focused role.

- Strong experience with SQL and relational databases.

- Hands-on experience with Python, PySpark, or Scala.

- Experience working with ETL tools and data pipeline development.

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.

- Knowledge of data warehousing concepts and dimensional modeling.

- Strong analytical, problem-solving, and communication skills.

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

**Preferred**

- Healthcare domain experience preferred

- Exposure to HIPAA-compliant environments is an advantage

- Strong analytical and problem-solving skills

**What We Offer**

- Opportunity to work with a Fortune 500 Healthcare organization.

- Exposure to enterprise-scale cloud and data engineering projects.

- Collaborative and technology-driven work environment.

- Competitive compensation package.

- Long-term growth and career advancement opportunities.

**Work Authorization**

Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.

Skills: python,healthcare,data,gcp,aws,cloud,big data,sql,analytics,azure,data engineering,etl

Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. 
 
In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible.
 
We are opening new factories and increasing our output everyday – join us in building a sustainable future.

Industry: Motor Vehicle Manufacturing
Company Size: 10,001+ employees

Tesla

**What To Expect**

The Energy Quality Team in Houston is looking for a Data Engineer to support Quality Engineering initiatives onsite. this position will support automation of production controls, defect prediction, advanced statistics, automate data pipelines and maintaining respective databases, creating live visualization tools to enable quality assurance for Tesla Energy products.

**What You'll Do**

- Define requirements and perform validation of manufacturing execution systems

- Analyze manufacturing, equipment and product field data and extract useful statistics and insights about failures to drive meaningful improvements to production quality and customer experience

- Work effectively with Engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling

- Monitor key product metrics, understanding root causes of changes

- Interpret data, analyze results using statistical techniques and provide ongoing reports

- Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports

- Maintain existing data visualizations, data pipelines and dashboard enhancement requests

- Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis

- Perform data quality validations to ensure data creation is as per the business needs and expectations

**What You'll Bring**

- Degree in Engineering, or equivalent experience

- Extensive experience writing software with Python

- Experience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)

- Experience and interest in frontend development, preferably with the JavaScript React framework

- Knowledge of various data communication protocols (e.g. REST API, WebSocket)

- Able to work under pressure while collaborating and managing competing demands with tight deadlines

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

, Tesla

Data Engineer, Quality, Megafactory

Slickdeals is a community of millions of real people, working together to save, so consumers can be confident they’re getting the best deal. Twelve million shoppers help other shoppers by vetting and voting up the very best products at the best prices from all the top retailers. Through the power of human intelligence, the community at Slickdeals has saved its savvy shoppers $10 billion. Slickdeals is one of the top ten most visited shopping sites in the U.S. per Similarweb and can be experienced online, as well as through shopping tools such as its free Android or iOS app; its browser extension for Chrome, Firefox and Edge; and its Slickdeals Cashback rewards program.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Slickdeals

**About Slickdeals:**

We believe shopping should feel like winning. That’s why 10 million people come to Slickdeals to swap tips, upvote the best finds, and share the thrill of a great deal. Together, our community has saved more than $10 billion over the past 26 years.

We’re profitable, passionate, and in the middle of an exciting evolution—transforming from the internet’s most trusted deal forum into the go-to daily shopping destination. If you thrive in a fast-moving, creative environment where ideas turn into impact fast, you’ll fit right in.

**The Purpose:**

We’re seeking a seasoned Data Engineer to join our high-impact team at Slickdeals. This role will inherit and evolve a mature data ecosystem built over 3+ years, spanning Databricks, dbt, Airflow, AWS, Tableau, and AtScale. You’ll be responsible for maintaining and modernizing core pipelines, enabling analytics and reporting, and supporting cost-conscious, scalable data infrastructure.

**What You'll Do:**

- Own and maintain ETL/ELT pipelines using dbt, Airflow, and Databricks

- Develop and optimize data models in AtScale to support BI tools like Tableau

- Collaborate with Analytics, Product, and Engineering teams to deliver reliable, timely data

- Monitor and troubleshoot data workflows, ensuring high availability and performance

- Support cloud infrastructure in AWS, including S3, Kafka, EC2, Lambda, and IAM policies

- Contribute to cost optimization efforts across data storage, compute, and tooling

- Document systems, processes, and tribal knowledge for continuity and onboarding

- Participate in code reviews, architecture discussions, and team rituals

**What We're Looking For:**

**Skills & Qualifications:**

- BS/BA/BE degree in a quantitative area such as mathematics, statistics, economics, computer science, engineering, or equivalent experience.

- 7+ years of experience in data engineering or analytics engineering

- Strong proficiency in SQL, Python, and dbt

- Hands-on experience with Databricks, Airflow, and AWS

- Familiarity with semantic modeling tools

- Experience building dashboards and supporting BI teams using Tableau

- Understanding of data governance, security, and compliance best practices

- Excellent communication and documentation skills

- Comfortable working in a fast-paced, collaborative environment

- Always curious and a continuous learner

**Nice to Have:**

- Experience with cost monitoring tools or FinOps practices

- Familiarity with vendor integrations and API-based data sharing

- Exposure to AtScale, Tableau, or other modern data platforms

- Passion for mentoring and knowledge sharing

**Please note: We are unable to sponsor visas at this time. Candidates must be authorized to work in the U.S. without current or future visa sponsorship or transfer.**

**LOCATION: Las Vegas, NV or San Mateo, CA**

~~Hybrid schedule visiting our Las Vegas or San Mateo office three days a week (Tues-Thurs).~~

**Slickdeals Compensation, Benefits, Perks:**

The expected base pay for this role is between $130,000 - $180,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Exact compensation will be discussed during the interview process and tailored to the candidate's qualifications.

- Competitive base salary and annual bonus

- Competitive paid time off in addition to holiday time off

- A variety of healthcare insurance plans to give you the best care for your needs

- 401K matching above the industry standard

- Professional Development Reimbursement Program

**Work Authorization**

Candidates must be eligible to work in the United States.

Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the "Ban the Box" legislation. We may access publicly available information as part of your application.

Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work.

**Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees. **

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world. For more information, visit www.blend360.com

Industry: Professional Services
Company Size: 501-1,000 employees

Blend

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.

**Job Description**

This is an hourly position that could become permanent over time.

We are looking for a highly skilled Data Architect to lead architecture design for a large-scale Marketing Data Layer initiative supporting a major telecommunications provider. This role will be responsible for defining scalable ingestion frameworks, modern data lake architecture, and data integration standards that enable reliable, near-real-time marketing data access across the enterprise.

This is an opportunity to shape a high-impact AWS-based data ecosystem while partnering closely with client stakeholders, data engineering teams, and cross-functional business leaders.

What You’ll Do

- Design and own the ingestion architecture that moves data from 20+ enterprise source systems into the AWS Marketing Data Layer

- Define scalable ingestion patterns for both legacy and direct source integrations across 18 business and data domains

-

Architect and document data contracts between source systems and the data layer, including:

Schema standards and versioning

SLAs and freshness expectations

Data quality and governance requirements

-

Design and optimize AWS S3 data lake structures, including:

Raw, staged, and curated zones

Partitioning and storage strategies

Lake Formation access controls and governance policies

- Define Change Data Capture (CDC) and streaming ingestion patterns to support near-real-time data freshness requirements

- Translate conceptual and logical architecture into detailed, implementable technical specifications for distributed and nearshore Data Engineering teams

- Partner with engineering leadership and client stakeholders to ensure scalability, performance, maintainability, and operational excellence across the platform

- Provide technical leadership and architectural guidance throughout the delivery lifecycle

**Qualifications**

Required Skills

-

Strong experience with AWS data services including:

AWS Glue

Amazon S3

AWS Lake Formation

- Amazon Athena

- Deep expertise in modern data lake architecture and large-scale data ingestion frameworks

- Experience designing CDC and streaming-based ingestion patterns

- Strong understanding of data contracts, schema management, and data governance principles

- Advanced experience with Python and PySpark

- Strong knowledge of distributed data processing and cloud-native architecture patterns

- Ability to create clear architectural documentation and implementation specifications for engineering teams

Required Experience

- 10+ years of experience in data engineering, data platform architecture, or related disciplines

- 3+ years serving in a Data Architect or Solution Architect capacity

- Experience working in large enterprise environments with complex, multi-source data ecosystems

- Experience supporting marketing, customer, or analytics-focused data platforms preferred

- Telecommunications industry experience is a plus

What Makes You Successful

- You are systems-oriented and think strategically about scalability, reliability, and long-term maintainability

- You can balance architecture vision with hands-on technical depth

- You communicate complex technical concepts clearly to both engineering and business stakeholders

- You thrive in collaborative, fast-moving consulting environments

- You bring a product mindset to enterprise data platforms and care deeply about operational excellence

**Additional Information**

The starting pay range for this role is $85 - $95/hr.  Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 offers a competitive benefits program designed to support the health and financial well-being of our team members and their families. Benefits vary by role and eligibility and may include medical, dental, and vision coverage, a 401(k) plan, paid time off, paid holidays, commuter benefits, flexible spending accounts, life and disability insurance, and employee assistance programs.

Sr. Data Architect

**About Slickdeals:**

We believe shopping should feel like winning. That's why 10 million people come to Slickdeals to swap tips, upvote the best finds, and share the thrill of a great deal. Together, our community has saved more than $10 billion over the past 26 years.

We're profitable, passionate, and in the middle of an exciting evolution—transforming from the internet's most trusted deal forum into the go-to daily shopping destination. If you thrive in a fast-moving, creative environment where ideas turn into impact fast, you'll fit right in.

**The Purpose:**

We're seeking a seasoned Data Engineer to join our high-impact team at Slickdeals. This role will inherit and evolve a mature data ecosystem built over 3+ years, spanning Databricks, dbt, Airflow, AWS, Tableau, and AtScale. You'll be responsible for maintaining and modernizing core pipelines, enabling analytics and reporting, and supporting cost-conscious, scalable data infrastructure.

**What You'll Do:**

- Own and maintain ETL/ELT pipelines using dbt, Airflow, and Databricks

- Develop and optimize data models in AtScale to support BI tools like Tableau

- Collaborate with Analytics, Product, and Engineering teams to deliver reliable, timely data

- Monitor and troubleshoot data workflows, ensuring high availability and performance

- Support cloud infrastructure in AWS, including S3, Kafka, EC2, Lambda, and IAM policies

- Contribute to cost optimization efforts across data storage, compute, and tooling

- Document systems, processes, and tribal knowledge for continuity and onboarding

- Participate in code reviews, architecture discussions, and team rituals

**What We're Looking For:**

**Skills & Qualifications:**

- BS/BA/BE degree in a quantitative area such as mathematics, statistics, economics, computer science, engineering, or equivalent experience.

- 7+ years of experience in data engineering or analytics engineering

- Strong proficiency in SQL, Python, and dbt

- Hands-on experience with Databricks, Airflow, and AWS

- Familiarity with semantic modeling tools

- Experience building dashboards and supporting BI teams using Tableau

- Understanding of data governance, security, and compliance best practices

- Excellent communication and documentation skills

- Comfortable working in a fast-paced, collaborative environment

- Always curious and a continuous learner

**Nice to Have:**

- Experience with cost monitoring tools or FinOps practices

- Familiarity with vendor integrations and API-based data sharing

- Exposure to AtScale, Tableau, or other modern data platforms

- Passion for mentoring and knowledge sharing

**Please note: We are unable to sponsor visas at this time. Candidates must be authorized to work in the U.S. without current or future visa sponsorship or transfer.**

**LOCATION: Las Vegas, NV or San Mateo, CA**

~~Hybrid schedule visiting our Las Vegas or San Mateo office three days a week (Tues-Thurs).~~

**Slickdeals Compensation, Benefits, Perks:**

The expected base pay for this role is between $130,000 - $180,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Exact compensation will be discussed during the interview process and tailored to the candidate's qualifications.

- Competitive base salary and annual bonus

- Competitive paid time off in addition to holiday time off

- A variety of healthcare insurance plans to give you the best care for your needs

- 401K matching above the industry standard

- Professional Development Reimbursement Program

**Work Authorization**

Candidates must be eligible to work in the United States.

Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the "Ban the Box" legislation. We may access publicly available information as part of your application.

Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work.

**Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees. **

Onix is a trusted cloud consulting company that helps businesses get the most out of their technology with innovative, cloud-powered solutions and services. From data analytics and modernization to security and AI/ML solutions, we’re able to deliver tailored solutions and exceptional results for our customers because of our 20+ year strategic partnerships in the cloud, our dedication to customer success, and depth of technology expertise. Our global team of cloud experts are the most reliable, talented and knowledgeable in the industry.

Industry: IT Services and IT Consulting
Company Size: 1,001-5,000 employees

Onix

About Onix: Onix is a trusted cloud consulting company that helps companies get the most out of their technology with cloud-powered solutions, best-in-class services, and the Datametica Birds, data migration products that unleash AI potential.

We are able to deliver exceptional results for our customers because of our 20+ years of cloud experience, depth of technology expertise, and IP-driven data and AI solutions.

We offer solutions across a wide range of use cases and industries that are tailored to the unique needs of each customer. From advanced cloud security solutions to innovative AI capabilities and data migration products, we have you covered. Our global team of experts are the most reliable, talented and knowledgeable in the industry.

Summary : Onix is seeking an experienced Senior Data Architect/Principal Data Engineer that will play a key role in designing and implementing data solutions that meet client business needs and support the overall cloud data architecture. The ideal candidate will have a strong understanding of Lakehouse Architecture, data modeling, and data management, with a significant focus on data warehouse/Lakehouse design and development. The candidate will have experience in cloud platforms such as Azure, AWS and GCP.

Location : Remote, United States

**Primary Responsibilities**

-  Lead the Design, development, and implementing of Lakehouse & data warehouses architecture in a cloud based data environment that integrates with an overall data architecture.

-  Work closely with business stakeholders to interpret their data needs and translate them into technical requirements.

-  Have a good understanding of data governance and develop & implement data governance policies and procedures.

-  Ensure data quality and integrity by implementing data testing and validation processes.

-  Deploying and debugging cloud data initiatives as needed in accordance with best practices throughout the development lifecycle.

-  Managing cloud data environments in accordance with company security guidelines.

-  Lead the design and build of reusable, repeatable solutions and components for future use.

-  Lead and mentor a team of data engineers to implement your solution designs

-  Stay abreast of current and emerging trends and technologies in the data and AI/ML field. Educate delivery teams on the implementation of new cloud-based data analytics initiatives, providing associated training as required.

-  Partner with Delivery, and Support teams to find opportunities to reduce manual effort needed to complete deployments.

-  Consult on Professional Services Engagements to help our customers design and implement data warehouse solutions. Lead and develop best practices for the larger data analytics delivery team.

-  Provide client presentations to review project design, outcomes and recommendations.

-  Employ exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems.

-  Lead the orchestration and automation cloud-based data platforms.

**Preferred Skills And Experience**

-  7+ years experience in Data Architecture, data engineering & analytics in areas such as performance tuning, pipeline integration & infrastructure configuration

-  10+ years of consulting experience

-  Completed Databricks Data Engineering Professional/Associate certification OR Cloud Certification (Azure, AWS, GCP)

-  Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one

-  Deep experience with distributed computing with Spark with knowledge of Spark runtime internals & Spark Structured Streaming

-  Working knowledge of MLOps with a strong understanding of essential components of MLOps Architecture to build, train and deploy models

-  Current knowledge across the breadth of Databricks product and platform features

-  Familiarity with optimizations for performance and scalability

-  Data Pipelining Experience leveraging Databricks Delta Live Tables and Data Built Tool (DBT)

-  Experience with terraform, Git, CI/CD tools as well as Automation and Integration testing

-  Thorough understanding of Databricks Delta, Iceberg, and Hudi

-  Experience in best Spark Best Practices & Notebook, Cluster Creation & Configuration

-  Ingestion Patterns & Data Quality enforcement techniques within Databricks, Spark and DLT.

-  Understanding of Constraints, Expectations, CDC, CDF, SCD Type 1/Type 2

-  Understanding of Unity Catalog & DBX Governance/Security Models

-  Familiarity with leveraging Databricks REST APIs - Testing and Deployment - SCIM API & DBX CLI

Education : Bachelor's Degree or equivalent experience required.

Travel Expectation: Up to 15%

It is the policy of Onix to ensure equal employment opportunity in accordance with the Ohio Revised Code 125.111 and all applicable federal regulations and guidelines. Employment discrimination against employees and applicants due to race, color, religion, (including sexual harassment), national origin, disability, age (40 years old or more), military status, or veteran status is illegal. Onix will only employ those who are legally authorized to work in the United States or Canada.

Senior Data Architect

Herbalife is a global health and wellness community born to support you in living your best life. For over 40 years and in more than 90 countries, we’ve empowered millions of people to make real changes to their lives with our science-backed products, the support of a coach – what we call an Herbalife Distributor – and the opportunity to build a business. And we’re just getting started.

To us, the best lives are balanced lives. Through our Herbalife Distributors, who foster community, personal growth and business opportunities to help you thrive, we offer a wide range of products designed to help you meet your needs and reach your goals. You bring the will to get started, and we’ll help you every step of the way.

Herbalife's focus on improving communities inspires people to come work for us. Our 11,000+ global employees play a crucial role in realizing Herbalife's passion for helping people. 

Herbalife has been recognized with numerous global employer awards, including Achiever’s Elite 8 of the Top 50 Most Engaged 8 Workplaces in 2018 and 2021, Achiever’s Top 50 Most Engaged Workplaces in 2019, and Best Employers for Women by Forbes in 2020. 

Herbalife sponsors more than 150 world-class athletes, teams, and events, including Cristiano Ronaldo, the Los Angeles Galaxy soccer team, and 5 National Olympic Committees. 

In addition, Herbalife created the Herbalife Nutrition Foundation, our Nutrition for Zero Hunger initiative and partnered with several organizations, including Feed the Children.

Industry: Wellness and Fitness Services
Company Size: 10,001+ employees

Herbalife

**Overview**

**THE ROLE:**

You’ll build how the organization sees, trusts, and acts on data. As a **Principal I, Power BI Architect **, you’ll design and scale enterprise-grade Power BI solutions—from semantic models to embedded analytics—so leaders and teams can make faster, smarter decisions. You’ll set architecture and governance standards, drive performance and capacity optimization, and partner closely with data engineering and application teams to deliver reliable, secure, and easy-to-use analytics experiences.

This role calls for deep expertise in Power BI architecture, DAX, SQL, and modern cloud data platforms (Azure and Snowflake). Experience with **Power BI Embedded **, **CI/CD **, **Direct Lake **, and **Delta **-based architectures is a strong plus, along with the ability to influence technical direction and mentor others.

**HOW YOU WOULD CONTRIBUTE:**

**Power BI Architecture & Solution Design**

-  Lead end-to-end Power BI delivery (semantic models, reports, dashboards) that scales across the enterprise.

-  Architect high-performing, reusable data models aligned to business definitions and governed metrics.

-  Establish and evolve standards for development, governance, and lifecycle management across the Power BI ecosystem.

-  Champion advanced capabilities (calculation groups, field parameters, deployment pipelines, bookmarks) to improve usability and consistency.

**Data Integration & Backend Connectivity**

-  Connect Power BI to Snowflake, Azure SQL, and other cloud/on-prem sources with secure, reliable access patterns.

-  Use Direct Lake and Delta-based approaches to enable fast, near real-time analytics where appropriate.

-  Partner with data engineering to build efficient pipelines, refresh strategies, and dataset development.

**Embedded Analytics & Application Integration**

-  Build and support Power BI Embedded experiences that bring analytics directly into web applications.

-  Ensure embedding is secure, scalable, and aligned with enterprise architecture and identity patterns.

**Performance Optimization & Advanced Analytics**

-  Write, review, and optimize DAX for clarity, correctness, and performance at enterprise scale.

-  Develop and maintain Power Query (M) transformations with a focus on maintainability and refresh efficiency.

-  Diagnose and tune report performance, query plans, and refresh operations—then share guidance with teams.

**Deployment, Administration & Governance**

-  Implement CI/CD using Git, TMDL, Tabular Editor, and automated validation to improve quality and speed.

-  Administer tenant/workspace settings, security, and access controls; define guardrails that enable self-service safely.

-  Monitor and optimize capacity unit (CU) utilization and operational health across environments.

**Leadership & Collaboration**

-  Translate business needs into clear technical builds and delivery plans with collaborators and product teams.

-  Mentor developers and analysts through reviews, patterns, and mentoring to improve standards across the org.

-  Document architecture, models, and operational playbooks to support long-term maintainability.

-  Other duties as assigned.

You’ll join a team that treats analytics as a product—prioritizing trustworthy data, phenomenal user experiences, and measurable business impact. We partner closely with data engineering, product, and business teams to tackle meaningful problems, and we invest in modern practices like governance-by-design, automation/CI/CD, and performance engineering.

If you enjoy setting technical direction, simplifying complexity, and enabling others to deliver their best work, you’ll thrive here.

**WHAT’S SPECIAL ABOUT THE TEAM:**

The Principal I, Power BI Architect role builds and implements enterprise-grade Power BI solutions to drive data-driven decision-making. It requires deep expertise in Power BI architecture, DAX, SQL, and cloud platforms like Azure and Snowflake. The position also emphasizes leadership in Power BI Embedded implementations, CI/CD practices, and governance standards.

**Qualifications**

**SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL:**

**Required Qualifications**

-  7+ years of experience building Power BI and business intelligence solutions.

-  3+ years in an architecture/technical leadership role (Power BI Architect, BI Architect, Analytics Architect, or similar).

-  Proven success delivering scalable, high-performance BI solutions in enterprise environments.

-  Expert proficiency in Power BI (semantic modeling) and solid, hands-on DAX experience (writing and optimizing measures for enterprise-scale models), plus Power Query (M).

-  Strong SQL skills for data analysis, transformation, and fixing issues.

-  Hands-on experience integrating Power BI with cloud data platforms such as Snowflake and Azure (e.g., Azure SQL, Data Factory, Synapse or equivalents).

-  Solid understanding of governance, security, and administration in the Power BI tenant/workspace model.

**Preferred Qualifications**

-  Experience with Direct Lake and Delta-based architectures for analytics.

-  Experience delivering Power BI Embedded solutions and partnering with application teams on integration patterns.

-  Experience implementing CI/CD for semantic models and reports using Git, TMDL, and Tabular Editor (or comparable tooling).

-  Understanding of Power BI capacity unit (CU) consumption, monitoring, and optimization.

-  Familiarity with Power Apps to extend or operationalize analytics workflows.

**Education:**

Bachelor's degree in Computer Science, Information Systems, or related field.

At Herbalife, we value doing what’s right. We are proud to be an equal opportunity employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected characteristic. We value diversity, strive for inclusivity, and believe the differences among our teammates is a key contributor to Herbalife’s ongoing success.

Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability and an Employee Assistance Program (EAP).

Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email your request to [email protected].

Terms of Use Privacy Policy CCPA Supplemental Notice Herbalife Consumer Health Data Privacy Policy

Principal I, Power BI Architect

Sundayy (Formerly Wiraa) makes job discovery feel less chaotic and more intentional. Instead of jumping between platforms, repeating the same steps, and getting lost in the process, everything is brought into one place so you can focus on what actually matters. No clutter, no confusion, just a clearer way to move forward.

Industry: Technology, Information and Internet
Company Size: 11-50 employees

Sundayy

**About The Company**

Convr is a forward-thinking technology company dedicated to transforming the insurance industry through innovative data solutions and intelligent automation. Our platform leverages cutting-edge AI and data engineering to streamline underwriting processes, enhance data accuracy, and deliver scalable insurance data capabilities. We are committed to fostering a collaborative, dynamic work environment that encourages continuous learning and growth. As a leader in insurtech, Convr partners with insurance providers, brokers, and other stakeholders to revolutionize how insurance data is modeled, analyzed, and utilized, ultimately driving better business outcomes and improved customer experiences.

**About The Role**

We are seeking a highly skilled Data Business Analyst to join our team. In this pivotal role, you will serve as the critical link between insurance operations, data engineering, product development, and analytics teams. Your primary responsibility will be to enable high-quality, scalable insurance data capabilities across our platform by translating complex insurance data into normalized, reliable structures suitable for analytics, AI, and underwriting workflows. You will evaluate new insurance-specific data sources, onboard them into our systems, and ensure data integrity and quality throughout transformation processes. Collaboration with cross-functional teams will be essential to diagnose issues, improve validation frameworks, and ensure the platform's data models support evolving business needs. The ideal candidate will possess a deep understanding of insurance data, strong analytical skills, and excellent communication abilities to bridge technical and non-technical stakeholders effectively.

**Qualifications**

- Bachelor’s Degree in Business Administration, Computer Science, Information Systems, or a related field

- Minimum of 2 years of experience in the Commercial P&C Insurance industry, with a focus on underwriting processes

- Experience working with data pipelines, ETL/ELT processes, and modern data platforms

- Proven ability to analyze large, semi-structured, or structured datasets

- Strong technical business analysis skills, with experience eliciting and translating complex business requirements into technical specifications

- Exceptional communication and documentation skills

- Experience working within Agile/Scrum frameworks

- Proficiency in Excel for data mapping and tracking, along with familiarity with project management tools such as Jira, Asana, or Monday.com

- Start-up or growth-oriented mindset with the ability to adapt in fast-paced environments

**Responsibilities**

- Serve as the primary interface between customer business needs and Convr’s technical teams, translating requirements into clear specifications

- Assess and ensure the quality, coverage, and relevance of new insurance data sources

- Analyze and map insurance data from various sources into a canonical schema to support analytics and AI initiatives

- Collaborate with product and engineering teams to evolve schema designs aligned with emerging use cases and customer pain points

- Partner with engineering to configure and activate the Convr Underwriting Workbench based on client-specific needs

- Validate the implementation of underwriting rules, workflows, and AI-driven decisioning within the platform

- Support AI/ML, analytics, and reporting projects by ensuring data completeness and accuracy

- Create comprehensive documentation, diagrams, and artifacts for both technical and non-technical stakeholders

- Identify data anomalies, gaps, and inconsistencies, and work with teams to resolve them at scale

- Diagnose root causes of data issues, improve validation frameworks, and ensure ongoing data integrity

**Benefits**

- Remote work opportunities allowing flexibility and work-life balance

- Flexible Paid Time Off to support personal and professional needs

- Company-paid holidays to promote well-being and work engagement

- Comprehensive insurance coverage including medical, dental, and vision plans

- Short-term and long-term disability insurance, life insurance, and accident coverage

- 401(k) retirement plan with company contributions

- Competitive salary range of $70,000 – $110,000, commensurate with experience and skills

Equal Opportunity

Convr is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to providing equal employment opportunities regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status. We believe that diverse teams drive innovation and success, and we welcome applicants from all backgrounds to join our team.

Business Analyst

Lam Research Corp. (NASDAQ:LRCX) At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. 

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.
The impact we have on the world is made possible by focusing on our people. We recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. 

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible. 

Ready to help define the future of technology? Join us: www.lamresearch.com/careers

Industry: Semiconductor Manufacturing
Company Size: 10,001+ employees

Lam Research

**The group you’ll be a part of**

Global Information Systems

**The impact you’ll make**

As a lead data and cloud architect supporting digital transformation in GBIS (Global Business Intelligence Solutions) group at Lam Research, you'll be responsible for designing and developing data engineering and integration solutions for future systems. Your role includes drafting specifications, creating solution designs, coordinating with development teams, and collaborating with data architecture, business, and development groups. You'll also advise application and business development teams on complex analytics design, ensuring alignment with Data and Analytics Hub principles, standards, and strategies.

**What You’ll Do**

- Use leadership skills to drive process, data, analytics, and AI design from discovery to delivery.

- Collaborate with Business and GIS stakeholders to support big data platform initiatives and provide direction on defining data strategy and architecture for cloud-native platforms.

- Design and develop data engineering solutions and data governance specifications as part of digital transformation processes.

- Participate in business transformation workshops with subject matter experts to identify data and process gaps, proposing scalable data and analytics architectures to address those needs.

- Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement.

- Offer guidance and insights on emerging data analytics trends and technical capabilities that can enhance digital transformation across the company.

- Demonstrate advanced data and analytics solutions to digital transformation teams, showing the potential of the Data Fabric platform with proof-of-concept projects.

- Develop, uphold, and advocate for advanced analytics standards and procedures throughout the GIS Data Hub across the entire organization.

- Design planning and analytics solutions by integrating Workday Adaptive with the Azure analytics stack (Microsoft Fabric, Synapse, Power BI), including ETL/ELT pipelines to support enterprise decision-making.

- Build strong relationships with key business sponsors and IT resources to efficiently resolve work requests.

**Who We’re Looking For**

- Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field; Master's or PhD preferred.

- Over 12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks.

- Over 10 years of SQL experience with cloud-native data warehousing and data modeling.

- Over 5 years of experience in building and supporting FP&A applications, integrating platforms such as Workday Adaptive, Anaplan, SAP BPC etc. with ERP systems and Azure data platform.

- Over 5 years of experience configuring Azure cloud and SaaS platforms and building automated ETL/ELT pipelines for real-time, streaming and batch data exchange.

- Minimum of 3 years working extensively with Spark and Python technologies for big data processing.

- At least 3 years of hands-on experience implementing end-to-end medallion architecture using Databricks or similar cloud tools.

- Proven background in schema design and dimensional data modeling.

- Comprehensive knowledge of data warehouse best practices, development standards, and methodologies using platforms like MS Fabric, Azure Synapse, Redshift, etc.

- Skilled communicator and presenter, with a record of leveraging insights to influence executives and team members.

**Preferred Qualifications**

- Experience with financial planning platforms and related business processes (eg: budgeting, forecasting and long-term planning) is a plus.

- Strong background in working with and analyzing large datasets, particularly in IoT and enterprise domains.

- Preferred: Strong computer science and mathematics foundation.

- Excellent SQL/query writing skills and communication abilities.

- Familiarity with common APIs, such as REST and SOAP, is advantageous.

**Our commitment**

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

~~Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.~~

**Salary**

Salary Range for this position: $137,000.00 - $287,000.00.

The above salary range for this position is relevant to applicants that reside in California and most states. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

**Our Perks And Benefits**

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Lead Data and Cloud Architect

GDIT is a global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community.

Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. 

GDIT is part of General Dynamics, a global aerospace and defense company. We have shared our clients’ sense of purpose for over half a century and have a have a unique understanding of their missions, complex environments, and a rapidly changing world. 

Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

General Dynamics Information Technology

**Job Description:**

**Type of Requisition:**

Regular

**Clearance Level Must Currently Possess:**

Top Secret

**Clearance Level Must Be Able To Obtain:**

Top Secret/SCI

**Public Trust/Other Required:**

None

**Job Family:**

Data Science and Data Engineering

**Skills:**

**Job Qualifications:**

Building Dashboards, Dashboard Reporting, Data Visualization

**Certifications:**

None

**Experience:**

2 + years of related experience

**US Citizenship Required:**

Yes

**Job Description:**

USSTRATCOM is a Combatant Command responsible for strategic deterrence, nuclear operations, and enterprise IT services essential to national security. It oversees Nuclear Command, Control, and Communications (NC3), Joint Electromagnetic Spectrum Operations (JEMSO), Global Strike, and Missile Threat Assessments, working closely with other Combatant Commands, Services, and defense agencies. SCITLS will be a key component that will ensure mission success and the safety of the U.S. and its allies by providing 24/7 IT services and network support for NIPRNet, SIPRNet, JWICS, and SAP/SAR environments.

**Data Visualization**

- Assists staff, command personnel, and SCITLS task personnel to transform complex datasets into clear, actionable visual formats that support decision-making and strategic planning.

- Consults with other Service Centers to develop dashboards, charts, and interactive visual tools that present data trends, patterns, and insights in an intuitive and user-friendly way using unified USSTRATCOM visualization elements.

- Using tools like Tableau, Power BI, or Python libraries, ensures visualizations are accurate, dynamic, and tailored to stakeholder needs.

- Collaborates with analysts, engineers, and decision-makers to understand requirements and refine outputs, ensuring clarity and impact.

- Bridges the gap between raw data and actionable insights, enabling organizations to make informed decisions quickly and effectively.

**WHAT YOU’LL NEED TO SUCCEED:**

- BA/BS (or equivalent experience), 2+ years of experience

- Security Clearance Level: Top Secret with SCI eligibility

- Required Certifications: ITIL 4 Foundation within 9 months of start;; Cloud+, Security+, SSCP or GSEC

- Location: Offutt AFB, NE

**GDIT IS YOUR PLACE:**

- Full-flex work week to own your priorities at work

- 401K with company match

- Comprehensive health and wellness packages

- Internal mobility team dedicated to helping you own your career

- Professional growth opportunities including paid education and certifications

- Cutting-edge technology you can learn from

- Rest and recharge with paid vacation and holidays

**#SCITLS**

The likely salary range for this position is $64,230 - $73,865. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

**Scheduled Weekly Hours:**

40

**Travel Required:**

Less than 10%

**Telecommuting Options:**

Onsite

**Work Location:**

USA NE Offutt AFB

**Additional Work Locations:**

**Total Rewards At GDIT:**

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Data Visualization

TheBoss.US is a fast-growing online social casino and sweepstakes entertainment brand built for the North American market.

Powered by proprietary technology and a customer-first operating model, TheBoss.US combines casino-style entertainment, digital engagement, gamification and real-money prize opportunities through a compliant sweepstakes structure.

Our focus is to build a modern, scalable and data-led entertainment platform that delivers a seamless customer experience, innovative promotional mechanics, strong operational controls and engaging content for players across the United States.

As part of a broader international gaming and technology group, TheBoss.US is investing in product, marketing, payments, fraud prevention, customer operations, casino management and analytics to support its next phase of growth.

Industry: Mobile Gaming Apps
Company Size: 11-50 employees

TheBoss.US

**ROLE SUMMARY **

We are looking for a Senior Product & Commercial Analytics Manager to lead high-impact analytics across our sweepstakes casino business. This role sits at the intersection of Product, Marketing, VIP, Payments, Fraud, Compliance, Operations, and Data Engineering. The mandate is to help the business make faster, sharper, and more profitable decisions by connecting player behaviour, product performance, marketing quality, payment outcomes, redemption activity, and risk indicators into one commercial view.

**This is not a dashboard-only role. **

The successful candidate will be hands-on with data, commercially minded, and comfortable operating in a high-volume digital gaming environment where growth, fraud exposure, payment performance, redemption behaviour, and compliance controls must be evaluated together — and where sweep coin liability, state-level performance variance, and operational realities.

**DEPARTMENT **: Product/Analytics

**LEVEL **: Senior Analytics Lead

**REPORTING TO: **General Manager, TheBoss.US

**PAY RANGE **: Upto USD $120,000 depending on experience

**KEY RESPONSIBILITIES **

- **Commercial and Player Value Analytics: **Own or co-own metrics including LTV, ROAS, payback, ARPU, player net value, purchase-to-redemption ratio, redemption rate, bonus cost, hold-style performance, and cohort profitability. Analyze revenue, player value, acquisition quality, retention, reactivation, monetization, VIP progression, and lifecycle performance across channels, cohorts, campaigns, player segments, and states.

- **Product and Gameplay Analytics: **Partner with Product and Game Operations to evaluate feature launches, lobby performance, game placement, game mix, tournaments, jackpots, loyalty mechanics, promotional experiences, and personalization initiatives. Build measurement frameworks for funnels, conversion, engagement, retention, monetization, and post-launch impact.

- **Marketing, CRM, and VIP Analytics: **Evaluate campaign performance, CRM effectiveness, offer strategy, VIP movement, churn risk, player reactivation, and reinvestment efficiency. Help Marketing and VIP move beyond volume-based performance toward quality-adjusted performance that accounts for redemption behaviour, promo dependency, chargebacks, and long-term player value.

- **Payments, Redemptions, Fraud, and Compliance Insight: **Work closely with Payments, Fraud, Compliance, and Operations to measure PSP approval trends, failed transactions, decline reasons, payment retries, chargeback exposure, refund trends, redemption velocity, KYC pass/fail outcomes, manual review volume, and high-risk player behaviour. Help leadership distinguish healthy commercial growth from activity that creates leakage, liability, or operational exposure.

- **Sweepstakes-Specific Analytics: **Support sweep coin liability modeling, state-level player segmentation and compliance variance, and 1099-reportable transaction analytics. Understand that in our environment, gross activity metrics are insufficient — every commercial conclusion must account for redemption economics and regulatory risk.

- **Reporting, Data Governance, and Automation: **Build and maintain trusted dashboards, analytical datasets, SQL models, KPI definitions, and executive reporting packs. Establish one version of truth for key business metrics and improve self-service visibility across teams. Automate recurring reporting, alerting, anomaly detection, and operational monitoring where possible.

- **Predictive Analytics and Experimentation: **Support predictive and statistical work around churn, LTV, VIP propensity, redemption likelihood, payment risk, fraud indicators, and bonus abuse. Support A/B testing and experimentation with defined success metrics, test design, measurement windows, statistical interpretation, and clear business recommendations.

**REQUIRED SKILLS AND EXPERIENCE **

- **Analytics experience: **Significant experience in commercial, product, marketing, gaming, payments, or fintech analytics in a high-volume digital consumer environment.

- **SQL and data platforms: **Strong SQL skills working with large transactional, behavioural, and event-level datasets. Databricks, Snowflake, BigQuery, or similar preferred.

- **BI and reporting: **Strong Power BI experience including DAX, data modelling, dashboard design, KPI governance, and stakeholder-facing reporting.

- **Commercial judgment: **Ability to translate data into decisions involving revenue, margin, retention, promotions, player value, product ROI, and operational risk.

- **Product analytics: **Experience with funnels, conversion, engagement, retention, feature measurement, personalization, A/B testing, and product roadmap support.

- **Payments and risk literacy: **Familiarity with payment approval rates, chargebacks, KYC/AML, fraud signals, manual review, bonus abuse, or redemption controls. Sweepstakes context a strong plus.

- **Sweepstakes knowledge (preferred): **Understanding of sweepstakes economics — P2R ratios, redemption velocity, sweep coin liability, state-level compliance variance, and 1099 reporting thresholds.

- **Communication: ** Ability to produce executive-ready insight with diagnosis, financial impact, alternatives, recommendation, and next steps.

- **Technical depth (preferred): **Python, Spark, dbt, Git, statistical modelling, or ML exposure is a plus but not mandatory if commercial analytics judgment is strong.

**CORE KPIS THIS ROLE SHOULD HELP OWN OR GOVERN **

- **Commercial performance **: Revenue, net revenue, ARPU, LTV, ROAS, payback, player net value, cohort profitability.

- **Sweepstakes economics: **Purchase-to-redemption ratio, redemption rate, redemption velocity, bonus cost, sweep coin liability indicators, hold-style performance, 1099-reportable transaction volume.

- **Product performance: ** Funnel conversion, feature adoption, game engagement, lobby performance, retention, session frequency, game mix, personalization impact.

- **Marketing and VIP: **Acquisition quality, channel quality, CRM uplift, reactivation rate, VIP movement, reinvestment efficiency, churn risk.

- **Payments: ** PSP approval rate, decline rate, retry success, failed purchases, payment method performance, chargeback rate, refund exposure, state-level payment variance.

- **Risk and operations: **KYC pass/fail rate, manual review rate, fraud loss %, duplicate account indicators, promo abuse indicators, redemption review time.

**CANDIDATE PROFILE **

The ideal candidate is commercially sharp, technically credible, and comfortable challenging assumptions. They can work hands-on in SQL, build trusted dashboards, investigate anomalies, explain root causes, and turn analysis into action.

Critically, they understand that in sweepstakes casino operations, the goal is not just higher activity. The goal is profitable, compliant, scalable, low-leakage growth — and they know the difference between a player cohort that looks good in gross revenue and one that holds up when redemption costs, bonus dependency, chargeback exposure, and payment risk are factored in.

They are not intimidated by fraud, compliance, or payments conversations. They see those functions as data sources, not blockers. And they understand that in a multi-state sweepstakes environment, commercial insight must be state-aware and regulation-literate.

**HOW TO APPLY **

Please submit your resume and a brief cover letter outlining your relevant experience and interest in the role.

Senior Product & Commercial Analytics Manager

We're hiring on behalf of a Haystack partner!

The Role

• Support client and stakeholder relationships using technical knowledge and an analytical mindset.

• Research, develop, and test data methodologies to generate cross-functional solutions.

• Collect, interpret, and analyze large datasets to derive meaningful insights.

• Contribute to impactful work by guiding decision-making across multiple organizations.

• Simplify technical requirements and trends for various audiences by applying communication skills and data analytics experience.

• Present data findings and recommendations to clients and stakeholders using various analytics and visualization tools.

What You'll Need

• 8+ years of experience in data analysis, data engineering, or data science.

• 3+ years of experience designing, developing, operationalizing, and maintaining enterprise-scale data applications for reporting and analytics.

• 3+ years of experience with specific data platforms, such as Palantir Foundry.

• Experience with data visualization tools including Tableau, Qlik, or Power BI.

• Experience creating solutions within a collaborative, cross-functional team environment.

• A Bachelor's degree in Computer Science, Data Science, or Mathematics.

• Required security clearance and certifications.

What's On Offer

• Competitive annual salary ($77,500 - $176,000) plus comprehensive benefits package.

• Opportunities to work on mission-critical projects and contribute to data-driven solutions.

• Professional development, training, and tuition assistance programs.

• A collaborative environment that fosters growth and innovation.

Apply via Haystack today!

Senior Data Analyst

Hayden AI powers safer, smarter, and more efficient cities. We combine advanced vision AI with purpose-built, vehicle-mounted hardware to analyze urban environments real-time. Cities use our technology to make streets safer and improve transit performance for everyone. Learn more at www.hayden.ai

Industry: Software Development
Company Size: 51-200 employees

Hayden AI

**About Us**

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

**Job Summary**

Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you’ll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

**Responsibilities**

- Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs

- Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback

- Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.

- Serve as first responder for data discrepancy and freshness issues.

- Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.

- Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.

- Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.

- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

**Required Qualifications**

- Bachelor's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.

- 1–3 years of experience in data analytics

- Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

- Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).

- Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.

- Experience building and maintaining dashboards in BI tools such as Tableau or Looker.

- Solid understanding of descriptive statistics and ability to interpret analytical results.

- Strong communication skills with the ability to present findings to both technical and business audiences.

**Preferred Qualifications**

- Master's or PhD in Data Science, Transportation, or a related field.

- Previous experience working with geospatial analytics and spatial datasets.

- Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

- Experience with Grafana or similar operational monitoring tools.

- Exposure to cloud platforms, especially AWS.

- Prior experience in a startup environment and a desire to make a significant impact.

Vertiv is a global leader in critical digital infrastructure for applications in data centers, communication networks, and commercial and industrial environments.

As businesses, industries, and communities become more connected, we pioneer and deliver end-to-end power and cooling technologies to help our customers stay resilient, optimized, and future-ready.

With our industry-leading innovative technologies and global services network, we are fueling the revolution of the digital world - keeping technology ecosystems running efficiently and without interruption.

Vertiv is supercharging data’s potential; accelerating the pace of technology, raising the bar for accelerated compute and redefining the limits of densification.

The world depends on data we power and cool™

Industry: Appliances, Electrical, and Electronics Manufacturing
Company Size: 10,001+ employees

Vertiv

**Job Summary**

**JOB DESCRIPTION**

As a ~~**Data Engineer - Cloud/Gen AI ** ~~, you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic environment, using the latest data processing and storage technologies and best practices. You will work with data scientists, analysts, and product teams to ensure data is accurate, consistent, complete, and accessible. Ultimately, you will collaborate with various teams to develop and enhance data solutions that meet the needs of customers and users.

This position will be based onsite at Vertiv's Westerville, OH - HQ location.

**Responsibilities**

- Design, build, and maintain scalable and robust data pipelines and architectures.

- Perform data extraction, cleansing, standardization, and transformation.

- Ensure data is accurate, consistent, and accessible.

- Collaborate with data scientists, analysts, and product teams to deliver data solutions that meet user needs and expectations.

- Troubleshoot and resolve data issues and defects.

- Research new data technologies and tools to enhance skills and improve data quality.

**Requirements**

- Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related field.

- At least 5 years of experience in data engineering, data pipeline development, and ETL processes.

- Proficient in one or more data processing and storage technologies, such as Apache Spark/PySpark, Hadoop, or Amazon Redshift.

- Experience with Python for data core modernization and data ingestion.

- Experience with data pipeline frameworks and tools, such as Apache Airflow, Luigi, or AWS Glue

- Experience with data engineering, data warehousing, and ETL processes.

- Strong proficiency in SQL and database design principles

- Excellent communication, creativity, and problem-solving skills

- Preferred Requirements:

- Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP)

- Understanding of emerging technologies (such as Generative AI) and advanced data architectures (i.e.: Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc.)

- Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes

- Experience with testing frameworks and tools, such as PyTest, Unittest, or Selenium

- Experience designing and implementing reporting and visualization for unstructured and structured data sets.

- Experience with batch processing and real-time streaming ingestions.

- Certifications or degrees in data engineering, computer science, or related fields

**The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities.**

**OUR CORE PRINCIPALS **: ~~Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.~~

**OUR STRATEGIC PRIORITIES**

-  Customer Focus

-  Operational Excellence

-  High-Performance Culture

-  Innovation

-  Financial Strength

**OUR BEHAVIORS**

-  Own It

-  Act With Urgency

-  Foster a Customer-First Mindset

-  Think Big and Execute

-  Lead by Example

-  Drive Continuous Improvement

-  Learn and Seek Out Development

**About Vertiv**

Vertiv is a $6.8 billion global critical infrastructure and data center technology company. We ensure customers’ vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

**Work Authorization**

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

**Equal Opportunity Employer**

~~Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.~~

Data Engineer - Cloud/AI

Since 1985, MetroPlusHealth has helped the people of New York City get quality health care at little to no cost. MetroPlusHealth is the plan of choice for over 712,000 New Yorkers, and its commercial and government-sponsored plans meet the needs of individuals, families, and workforces. The MetroPlusHealth staff speaks more than 40 languages and is as diverse as the great City it serves. MetroPlusHealth is part of NYC Health + Hospitals, the nation's largest public health system. For more information, visit metroplus.org. Join the conversation on social media at @metroplushealth.

Our Mission: We provide a caring, high-quality customer experience to preserve and improve the health and lives of New Yorkers with our integrated healthcare system.

Our Vision: To be the number one plan of choice for the communities we serve.

Our Core Values: Be caring and compassionate to all

Be customer-powered: Align daily actions to positive, impactful customer experiences; connect with internal and external customers

Be proud of what we do: Take ownership and accountability; be solutions driven

Act as a team: Build trust, empower others, and champion transparent communication

Thrive with change: Spark and support innovation, and transform our business through technology and data

Industry: Hospitals and Health Care
Company Size: 1,001-5,000 employees

MetroPlusHealth

The position of Data Engineer in Analytics and Reporting Department is responsible in managing data process design and development of ETL in SQL Server environment. This role also involves understanding business requirements and designing and developing regulatory and operational reports in a timely and consistent manner.

The Successful candidate must be self-motivated and technically strong individuals with minimum of five years of experience in SQL Server and other database development. The individual must be proficient in TSQL, SSIS development, familiar with application development life cycle. Strong project management and strong analytical skills are also required. Knowledge in healthcare membership, provider, claims data as well as familiarity with 834/837 EDI transaction is a plus.

**Scope Of Role & Responsibilities**

- Monitor, maintain, and enhance existing data processes.

- Collaborate with team members to create comprehensive documentation of workflows, data processing, and reporting logics.

- Support compliance and regulatory in providing support for reporting and auditing needs.

- Manage and prioritize concurrently projects in a timely and consistent manner.

- Develop SQL stored procedures, SSIS packages, and process module.

- Develop test cases to validate data processes, ETL workflows, and reporting logic.

**Required Education, Training & Professional Experience**

- Bachelor’s degree in Information Systems, Computer Science, Database Management, or related field.

- Minimum 5 years of programming experience in SQL Server database object development including but not limited to stored Procedures, functions, views.

- Minimum 5 years’ experience in complex healthcare data like Claims, Enrollment, Providers.

- Previous experience in business intelligence platforms, such as Tableau or Power BI

- Knowledge of .Net development, Python, Javascript, JSON, XML,

- Excellent analytical and problem-solving skills

- Ability to work effectively in a team environment and adapt to different projects and assignments quickly.

- Knowledge of EDI X12 Standards especially for transactions 837’s, 834, 277CA, 999 is a plus.

**Professional Competencies**

- Integrity and Trust

- Collaboration and Time management skills

- Functional/Technical skills

- Written/Oral Communication

- Ability to work effectively in a team environment and adapt to different projects and assignments quickly.

- Excellent analytical and problem-solving skills

#MPH50

Data Engineer (SQL, Programming, Healthcare)

We deliver advanced technology consulting solutions built for today’s most ambitious organizations. By connecting top-tier consultants with talent acquisition seeking proven expertise, we help companies move faster, solve complex challenges, and stay ahead in competitive markets. With a deep understanding of recruitment and delivery realities, we provide strategic solutions that elevate project staffing, optimize workflows, and accelerate results.

Backed by hundreds of successful engagements and trusted by leading clients, we know that the right talent is the foundation of long-term success.

Our team specializes in identifying the right experts for every engagement, from short-term project needs to long-term strategic roles.

From talent sourcing and vetting to onboarding and ongoing support, our end-to-end talent solutions ensure you have the expertise needed to perform, scale, and win.

Be part of the future: tinyurl.com/ConsultantCareerForm

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

Tech Consulting

Are you excited about taking your technical career to new heights with a full-time, W-2 role as a consultant in a dynamic and rapidly growing company? If you are, let's get in touch – ~~your interest is the first step to starting the conversation. ~~

**What This Role Requires: **

- 1-4 years of programming experience after your degree

- Must have coding experience in both Python and SQL.

- Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake

- Good understanding of object-oriented programming (OOP) principles & concepts

- Familiarity with data visualization tools such as Tableau or Power BI

- Familiarity with Apache Flink or Apache Storm

- Awareness of data security best practices and compliance requirements (e.g., GDPR, HIPA).

- Familiarity with AI and ML techniques.

- Good to have knowledge of Hadoop and Scala.

**To Qualify: **

- You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an **onsite, in-office position **.

- Strong English communication skills, both written and verbal.

- **Bachelor’s Degree ** in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field.

**What’s In It For YOU? **

- Gain valuable, career-enhancing experience working with our Fortune 1,000 clients.

- Receive relocation support for training and project assignments, as required.

- Enjoy comprehensive W2 employee benefits.

**Who Are We? **

We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as **finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare **.

**Company Highlights: **

- **Our Specialization: **Providing IT consulting services.

- **Experience: **Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.

Interested in accelerating your tech career through careerenhancing IT consulting experience? Do you meet the required qualifications?

**If so, apply today! We look forward to hearing from you. **

Starr Insurance is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.

Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.

Starr has the global knowledge, vision and relationships to help your company succeed, anywhere you do business.

Industry: Insurance
Company Size: 1,001-5,000 employees

Starr Insurance

**Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.**

**Job Description: Senior Director, Data Architecture**

**Location: ** New York, NY

**Reports to: ** Head of Data Engineering & Chief Data Officer

**Department: ** Starr Technology Group

**Overview:**

The Senior Director, Data Architecture is a pivotal leadership role responsible for championing, building, and scaling a world-class Data Architecture practice in support of Starr’s global enterprise data vision. Reporting to the Chief Data Officer, the candidate will define and deliver modern, resilient, and secure data architectures that underpin all insurance systems, capabilities, and platforms. Leveraging deep domain experience in insurance (P&C and Specialty lines), data management, modeling, and analytics, the Senior Director will translate business and technical requirements into scalable data solutions that enable the organization’s innovation, regulatory compliance, and growth objectives.

Central to this role is the development and stewardship of data architectural best practices, reference architectures, and standardized frameworks that drive consistency, quality, and governance across all data assets—spanning domains from Customer, Policy, Claims, and Financials to the augmentation of external data. The Senior Director will work collaboratively with engineering, product, analytics, and delivery teams to translate requirements into solutions, providing architectural oversight and hands-on technical delivery for strategic initiatives, and maintaining a current/future state roadmap for all data capabilities.

This leader will drive adoption of modern data technologies, advanced data modeling, cloud architectures, and data governance principles, while building the discipline and maturity of Starr’s Data Architecture organization. This position is critical for supporting the scalable growth of business intelligence, analytics, and cross-enterprise data operations across the insurance portfolio.

**Responsibilities:**

**Data Architecture Vision, Strategy & Governance**

- Define and execute the data architecture vision and strategic roadmap in close alignment with the CDO and enterprise data strategy.

- Architect scalable, resilient, and secure solutions for enterprise-wide data integration, warehousing, analytics, operational systems, and augmentation with external data sources.

- Develop and champion standardized, insurance-centric data modeling frameworks, data architecture best practices, and reference architectures to ensure quality, consistency, and performance.

**Architectural Oversight & Solution Delivery**

- Drive architectural oversight for design, build, and operate phases of critical enterprise data initiatives—including new insurance products, data platforms, modernization, digital transformation, and regulatory projects.

- Translate functional and technical requirements into robust data architectures; guide engineering, analytics, product, and delivery teams throughout the data solution lifecycle.

- Perform hands-on technical delivery and problem solving for complex, strategic initiatives, ensuring successful execution against business, compliance, and technical requirements.

- Formalize current- and future-state architectural roadmaps that support unified, global, and consistent views of Customer, Policy, Claims, Financials, and other key insurance data domains.

**Insurance Data Domain Leadership**

- Develop and maintain standardized insurance data models, schemas, and pipelines; ensure applicability across the business for operational, analytical, and regulatory purposes.

- Integrate core insurance application data (e.g., Policy Administration, Claims, Reinsurance, Financials) with enterprise data platform and external third-party sources for holistic insights.

- Lead data architecture initiatives supporting evolving requirements of actuarial, underwriting, claims, compliance, finance, and product innovation teams.

**Adoption of Modern Data Technologies & Best Practices**

- Evaluate, select, and drive adoption of cutting-edge data technologies and architectural approaches (cloud-native, distributed, streaming, data lakehouse, real-time analytics).

- Accelerate enablement of cloud-based, medallion architecture (bronze/silver/gold), data pipeline automation, metadata management, and advanced analytics infrastructure.

- Promote strong data governance integration—including quality, cataloging, lineage, privacy, security, and compliance policies—across all data architecture outputs.

**Data Organization Leadership & Team Building**

- Build and mentor a high-performing Data Architecture function, including data architects, modelers, solution designers, and technical delivery leads.

- Foster cross-team collaboration with engineering, operations, analytics, and governance teams, ensuring seamless delivery of robust data solutions across the enterprise.

**Stakeholder Engagement & Change Leadership**

- Serve as chief architectural advisor and liaison to internal and external stakeholders - educating teams on data architecture capabilities and value.

- Ensure business requirements are accurately captured and reflected in scalable technical designs; drive business adoption and platform utilization.

**Continuous Improvement, Innovation, & Risk Management**

- Champion continuous improvement in architectural processes, tooling, methodology, and capability development.

- Lead architectural risk assessment, mitigation, and proactive controls to ensure technical, business, and compliance objectives are met.

- Track and report architectural health and progress using enterprise KPIs, quality metrics, and roadmap milestones.

**Technical Skills & Requirements:**

- Advanced hands-on expertise in designing and modeling enterprise data architectures (cloud-native, hybrid, lakehouse, distributed, real-time).

- Deep experience with data management, advanced data modeling (conceptual, logical, physical), insurance data schemas, and master data/reference data frameworks.

- Proven delivery across modern data technology stacks—Databricks, Snowflake, Spark, AWS/Azure/GCP data services, streaming/data integration platforms, metadata/cataloging tools.

- Expertise in Medallion architecture, batch/streaming pipeline design, external data augmentation.

- In-depth understanding of metadata management, data governance, lineage, cataloging, residency and security/privacy frameworks.

- Familiarity with insurance business models, core platforms (Guidewire, Duck Creek, Majesco), and regulatory/compliance-driven architecture requirements.

- Ability to assess legacy and modern architectures, and transition organizations toward future state aligned with business goals.

- Experience driving transformation of architecture standards and best practices across globally distributed teams.

**Required Qualifications:**

- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, or related field; advanced degree highly preferred.

- 12+ years’ experience in data architecture, data modeling, and enterprise data management with 5+ years in senior leadership roles.

- Significant insurance industry experience, ideally within P&C and Specialty, with deep understanding of industry data requirements.

- Proven track record architecting, delivering, and governing complex data solutions for operational, analytical, and regulatory purposes in global organizations.

- Expertise building and formalizing insurance data models, frameworks, and best practices.

- Experience leading architectural teams, driving transformation and adoption of modern data architectures and governance.

- Excellent technical leadership, stakeholder management, communication, and problem-solving skills.

- Professional certifications in data architecture, cloud platforms (AWS, Azure, GCP), and insurance data management are highly desirable.

An estimated salary range for this role is $200,000-$275,000

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

Senior Director, Data Architecture

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress. For more information about Trimble (Nasdaq: TRMB), visit: www.trimble.com.

Industry: Software Development
Company Size: 10,001+ employees

Trimble Inc.

**Drive Innovation as our Next Data Engineer / Scientist (Predictive Analytics)!**

Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for a passionate problem-solver like you to leverage data to drive meaningful business outcomes and contribute to the success of our data-driven initiatives! You will unleash your potential by designing systems that improve customer retention for SketchUp, turning complex datasets into actionable strategies that move the world forward.

**About Us**

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.

**AECO: ** The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations.

**What Makes This Role Great**

In this role, you will be at the forefront of developing predictive machine learning models, directly influencing customer retention for our SketchUp product and shaping the future of how we understand and engage with our global user base.

**Key Exciting Responsibilities**

- Design and deploy sophisticated ML models, such as XGBoost and logistic regression, to proactively identify and mitigate churn risk.

- Translate complex model outputs into business-friendly insights that drive targeted go-to-market retention strategies.

- Engineer impactful features from raw customer data to develop advanced metrics for tracking global engagement and activity.

- Architect automated processes and algorithms to cleanse and integrate massive datasets for high-level customer segmentation and model training.

- Optimize churn prediction performance using advanced metrics like AUC and lift to ensure maximum business impact.

**Essential Skills & Experience**

- 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models.

- Proficiency in Python and SQL for data manipulation and algorithm development.

- Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats.

- Experience in statistical modeling for churn analysis, customer segmentation, and cohort analysis.

- Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred).

**Bonus Points For**

- Experience with demographic and firmographic data integration.

- Familiarity with BI tools and cloud-based data environments.

- Advanced academic research in predictive analytics or related fields.

**Logistics**

Location: In Office: Westminster, CO

Travel Requirement: Minimal

**Why You'll Love Working With Us**

**At Trimble, we're not just a company that "does good" **—we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

**You'll work on projects that truly matter: ** Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.

**Collaborate with like-minded people: ** Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work.

Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."

Data Engineer, Data Scientist, Machine Learning, Churn Prediction, Python, SQL, Predictive Analytics, SketchUp, ETL, XGBoost, Data Modeling

**Compensation: **Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law.

**Hiring Range**

$122,642.00–$165,466.00

**Pay Rate Type**

Salary

**Bonus Eligible?**

Yes

**Commission Eligible?**

No

**Benefits: **Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.

**How to Apply: **Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.

**Application Deadline: **Trimble accepts applications on an ongoing basis until the position is filled.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values—Belong, Innovate, and Grow—we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com, under “Corporate Governance.”

Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

Trimble’s Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.

Machine Learning Data Scientist

VeeAR Projects Inc is a Technology Consulting & Angel Investing Enterprise headquartered in Silicon Valley, with a globally distributed team across North America and Asia. Established in 2004, VeeAR has been successful in building trusted partnerships with over 100+ clients including Google (Google Cloud), Microsoft, Tenable, Meta, IngramMicro, Chevron, Silicon Valley Bank etc.
• Our Digital Consulting & Technology solutions repertoire are not limited to Digital Strategy & Planning, Platform Modernization, UI/UX modernization, Integration, Security, BI Analytics, IT infrastructure, CI-CD (DevOps/DevSecOps), Virtualization, Enterprise Mobility & Automation.   
•  The Technology/implementation partnership with Anaplan, Tenable, Google Cloud, Snowflake, AWS has contributed to Enterprise Platforms and Business Applications builds.
•  As an Angel Investment firm, we have incubated and scaled products and platform start-ups for Layered Insight, Cloud Virga, Accurics, Garble Cloud etc.
• Our managed services engagements on a global delivery model drives clients with their Sustained Engineering, Application Support & Maintenance needs.
•Our Global Talent Solutions has helped build high powered teams cutting across technology layers (Software, Hardware, Firmware, Semiconductor, Storage, Embedded, Networking), geographies and industry verticals.
•Solvanni and Tekrek Solutions are subsidiaries of VeeAR group companies.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

VeeAR Projects Inc.

**Role Overview - **

- We are looking for a skilled Data Engineer with 6-9 years of strong hands-on experience in building scalable and efficient data pipelines. The ideal candidate will have deep expertise in DBT, Snowflake, and Python, and a solid understanding of modern data engineering practices.

- You will be responsible for designing, developing, and optimizing data pipelines and transformation workflows to support analytics, reporting, and business intelligence needs.

**Key Responsibilities **

- Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Python

- Build and manage data transformation workflows using DBT (models, macros, testing, and documentation)

- Develop efficient data ingestion and processing pipelines using Python

- Optimize Snowflake data models, queries, and performance for large-scale datasets

- Ensure data quality, reliability, and consistency through testing and validation frameworks

- Collaborate with data analysts, business teams, and stakeholders to understand data requirements

- Implement best practices for data modeling, version control, and pipeline orchestration

- Monitor and troubleshoot data pipeline issues and performance bottlenecks

- Maintain clear and structured documentation for data workflows and pipelines

**Required Skills & Qualifications **

- 5–7 years of hands-on experience in Data Engineering

- Strong expertise in DBT (Data Build Tool)

- Solid experience with Snowflake (data warehousing, performance tuning, optimization)

- Strong expertise in Python for data processing and pipeline development

- Good understanding of SQL and data modeling concepts (star schema, dimensional modeling)

- Experience with data pipeline orchestration tools (Airflow or similar)

- Familiarity with data quality and testing frameworks

- Strong problem-solving and analytical skills

**Preferred Qualifications **

- Experience working in cloud environments (AWS, Azure, or GCP)

- Familiarity with CI/CD practices for data pipelines

- Exposure to real-time or streaming data pipelines is a plus

- Experience in enterprise-scale data platforms

**Key Deliverables **

- Robust and scalable data pipelines

- Optimized Snowflake data models and queries

- DBT-based transformation frameworks

- High-quality, reliable datasets for analytics and reporting

Smart IT Frame stands as a leading NMSDC-certified IT Solutions and Servicing company, founded in 2012 with headquarters in Somerset, New Jersey. Our commitment to promoting Diversity, Equality, and Inclusion (DEI) values is unwavering. With our expertise, we support client initiatives by offering innovative IT solutions and services to leading System Integrators in the private and public sectors.

Specializing in a comprehensive range of end-to-end services, including Artificial Intelligence (AI), Machine Learning (ML), IT Innovation and solutions, Cloud-based solutions, robotics process automation (RPA), cybersecurity, Identity Access Management (IAM), and more, to ensure cutting-edge solutions for our clients.

Since our establishment, we've dedicated ourselves to providing exceptional services globally. Our success stories span across various industries, including banking and finance, insurance, healthcare, retail, telecommunications, manufacturing, and more.

Collaborating with Smart IT Frame ensures expert, top-notch services and dedicated support from a team committed to driving your success. We strive to exceed client expectations, fostering long-term relationships built on trust, reliability, and exceptional results.

Industry: Software Development
Company Size: 501-1,000 employees

Smart IT Frame LLC

**Role - Certified Palantir Architect **

**Location - White Plains, NY (Remote) **

**Key Responsibilities **

Design develop and maintain applications and workflows on the Palantir Foundry platform

Collaborate with data engineer's analysts and business stakeholders to translate business needs into scalable data solutions

Build and optimize pipelines for data ingestion transformation and visualization

Ensure data governance quality and security standards are met across all Palantir based solutions

**Required Skills **

Experience working with Palantir Foundry

Strong proficiency in data modelling pipeline development and object-oriented programming eg Python Java

Experience with data integration ETLELT processes and APIs Familiarity with ontology design and operational workflows within Foundry

Ability to work cross functionally and communicate technical concepts to nontechnical stakeholders

GroupA is an Enterprise Cloud Consulting firm offering a wide range of Technology Consulting, Systems Integration, and Team Building.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

GroupA

- **Job Type – Long Term Contract **

- **Location – Remote – EST hours **

- **Requirements - GC holder or USC required **

**Overview **

We are seeking an experienced **Data Engineer ** to design, develop, and support scalable data solutions that enable analytics, reporting, and operational data services across the organization. This role will focus on building and optimizing ETL/ELT pipelines using Databricks and Apache Spark, developing complex SQL transformations, and enabling secure and scalable data exposure through APIs. The ideal candidate brings strong hands-on technical expertise, a deep understanding of data engineering best practices, and the ability to work collaboratively across technical and business teams in an agile environment.

**Responsibilities: **

- Design, develop, and maintain ETL/ELT pipelines using Databricks and Apache Spark for batch and incremental data processing

- Implement robust data ingestion patterns from multiple source systems including files, databases, APIs, and streaming sources where applicable

- Optimize Spark jobs and data pipelines for performance, scalability, reliability, and cost efficiency

- Ensure data quality, reconciliation, monitoring, and observability across pipelines and datasets

- Develop advanced SQL transformations for data cleansing, enrichment, aggregation, and reporting

- Design and maintain analytical data models including fact and dimension tables, curated data layers, and reporting views

- Support downstream reporting, analytics, and data science use cases with well-structured and scalable datasets

- Configure and manage data exposure through APIs for internal and external consumers

- Partner with application and integration teams to define API contracts and data payloads

- Ensure secure, scalable, and performant data access patterns

- Support API versioning and backward compatibility for published data services

- Collaborate with cross-functional teams to understand business and technical data requirements

- Participate in agile delivery processes and contribute to continuous improvement initiatives

- Document technical designs, processes, and operational procedures

**Requirements: **

- 5+ years of experience in data engineering roles

- Strong hands-on experience with Databricks and Apache Spark

- Advanced SQL proficiency including complex joins, window functions, and performance tuning

- Experience building and managing ETL/ELT pipelines

- Experience configuring and supporting data exposure through APIs

- Solid understanding of data warehousing and analytics concepts

- Experience with cloud data platforms such as AWS, Azure, or GCP preferred

- Familiarity with CI/CD practices for data pipelines preferred

- Experience with orchestration tools such as Airflow or Databricks Workflows preferred

- Knowledge of data quality, monitoring, and reconciliation frameworks preferred

- Strong problem-solving and analytical skills

- Ability to work independently on complex data challenges

- Clear communication skills with both technical and non-technical stakeholders

- Comfortable working in an agile and product-oriented environment

We're hiring on behalf of a Haystack partner!

The Role

• Design, build, and maintain complex data systems that facilitate data analysis and reporting.

• Ensure large datasets are efficiently processed and accessible for decision-making with minimal supervision.

• Develop and maintain streaming and batch data pipelines for seamless data ingestion, transformation, and storage.

• Build prototypes to test new concepts and implement data engineering frameworks to enhance processing capabilities.

• Collaborate with cross-functional data and analytics teams to gather requirements and ensure solutions meet partner needs.

• Review and optimize existing data systems and architectures for performance and scalability.

What You'll Need

• Minimum of 4 years of relevant work experience.

• Experience developing data systems on major cloud platforms (AWS, GCP, Azure).

• Hands-on experience building modern data architectures (data lakes, lakehouses) with ingestion, governance, and modeling capabilities.

• Proficiency in data ingestion tools and storage formats (e.g., Kafka, AWS Glue, Iceberg, Parquet).

• Experience developing data pipelines with streaming architectures and tools (e.g., Kafka, Flink).

• Advanced programming skills in Python, Java, Scala, or similar, with expert-level SQL proficiency.

What's On Offer

• Competitive annual salary.

• Opportunities to work with advanced engineering and cloud-based technologies.

• Engage with a global organization focused on sustainable practices.

• Contribute to solutions that impact billions of lives daily.

Apply via Haystack today!

Edkey is an AI-powered education technology company building the intelligence layer between learning and career outcomes.

Founded by a team of former Edmodo executives and edtech veterans collectively serving over 140 million students and teachers worldwide. Edkey combines decades of experience across institutions including Stanford University, Redbird Advanced Learning, McGraw Hill, Discovery Education, and Edmentum. With more than 50 years of experience in educational product innovation, our team understands both the classroom and the future of work.

Our Mission

To empower students to transition fluidly from classroom to career — and back again — using AI to support continuous upskilling and advancement.

Our Core Products

QuickTakes

QuickTakes is an AI-powered study companion that transforms lectures into structured, personalized learning materials. Students can record live classes or upload audio, video, or YouTube links to automatically generate:
Lecture summaries
Study guides
Glossaries of key terms
Structured outlines
Lecture transcripts
Practice problems
Recommended videos

QuickTakes allows students to focus fully during lectures while AI handles the note-taking and knowledge organization — improving comprehension, retention, and performance.

careertakes

careertakes extends learning beyond the classroom by helping students translate their academic work into real-world opportunities.
Powered by AI, careertakes helps users build professional profiles, optimize resumes, and discover relevant job matches aligned with their skills and coursework. By connecting education to employability, careertakes bridges the gap between studying and getting hired.

The Edkey Vision

Education shouldn’t stop at note-taking. It should unlock opportunity.
Edkey is building an integrated ecosystem where AI supports students through every stage — from understanding lecture material to securing meaningful career outcomes.

From classroom to career — powered by AI.

Industry: Software Development
Company Size: 11-50 employees

edkey

**Role Overview**

Confidential client is hiring a Data Scientist to join a multidisciplinary actuarial and data science team focused on designing and delivering analytical insights that improve core actuarial processes. This role uses statistical modeling, machine learning, and data engineering to build and maintain loss models and other predictive solutions. The ideal candidate is experienced with Python and/or R, SQL, the end-to-end model lifecycle, and communicating results to technical and non-technical partners.

**What You’ll Do**

- Create statistical models, algorithms, and machine learning solutions to enhance traditional actuarial processes and loss modeling assumptions

- Apply Python and/or R to develop, maintain, and support production and research models across lines of business

- Design and implement end-to-end model lifecycle components: requirements, development, validation, deployment, monitoring, and documentation

- Extract and profile data using SQL and work with data engineering partners to ensure model-ready datasets

- Collaborate with actuaries, product partners, data engineers, and stakeholders to align technical solutions with business strategy

- Translate model results and limitations into clear presentations and actionable recommendations for non-technical audiences

- Contribute to long-term tools and frameworks that scale modeling and analytic capabilities

- Stay current with research and state-of-the-industry techniques, proposing innovations where they add business value

**Location & Work Arrangement**

confidential client offers a Hybrid or Remote arrangement depending on experience and role fit. Candidates living near an office (Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC) are expected to be in-office approximately 3 days per week (Tuesday–Thursday). Candidates not near an office may be eligible for a remote arrangement, with an expectation to come into an office as business needs require.

**Minimum & Preferred Qualifications**

- 2+ years of relevant industry or applied data science experience recommended

- Bachelor’s degree required; preference for Master’s in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a related analytical field

- Preferred: progress toward relevant actuarial or professional credentials (e.g., FCAS, FSA, CSPA)

- Hands-on experience in statistical modeling, inference, and building machine learning algorithms using Python and/or R

- Proficient in SQL and comfortable navigating relational databases to extract and transform attributes for modeling

- Familiarity with model deployment and reproducibility tools; experience with Unix, Git, Shiny, and R Markdown is a plus

- Demonstrated experience across the end-to-end modeling lifecycle (requirements, development, validation, monitoring)

- Strong written and verbal communication skills; able to present technical results to non-technical stakeholders

- Self-motivated, results-oriented, and effective as a collaborative team member with strong ownership of deliverables

- Candidates must be authorized to work in the U.S. without company sponsorship. confidential client will not support the STEM OPT I-983 Training Plan endorsement for this position.

**Compensation**

The annualized base pay range for this role is:

- $90,160 - $135,240

This range is primarily based on external market data. Actual base pay may vary based on experience, proficiency, demonstrated competencies, and other job-related factors. Total compensation may include additional elements such as bonuses, long-term incentives, and recognition programs.

**Equal Opportunity & Hiring Transparency**

CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, **AI tools may be used ** to assist with application review or resume screening. These tools **do not replace human decision-making **. Final hiring decisions are made by people.

- If you have questions about how your data is used, please contact us directly.

Red Lion Summit Life Insurance Agency (RLSLIA) is a general agency under Pru Life UK, established on July 8, 2021. With a mission to spread financial literacy and help individuals achieve their personal goals, RLSLIA has built a strong client base of over 3,000 clients and a team of 200+ agents.

Join us in making a positive impact on people's financial well-being.
Here at Red Lion Summit LIA, we roar as one! 

#RLSLIA #PruLifeUK #joinus

Industry: Mga Pinansyal na Serbisyo
Company Size: 201-500 empleyado

Red Lion Summit Life Insurance Agency

**Junior Data Engineer – Role Description & Qualifications ****Role Overview **

**The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure that enable efficient data processing and analysis. This role focuses on handling structured and unstructured data, ensuring data quality, and assisting in building scalable data solutions. It is ideal for early-career professionals looking to develop technical expertise in data engineering and work closely with data teams. **

**Key Responsibilities **

**• Assist in building, maintaining, and optimizing data pipelines and workflows. **

**• Collect, process, and transform data from various sources. **

**• Support the development and maintenance of data storage solutions. **

**• Ensure data accuracy, consistency, and integrity across systems. **

**• Collaborate with data analysts and engineers to support data needs. **

**• Monitor data processes and troubleshoot issues as they arise. **

**• Maintain documentation for data pipelines, systems, and processes. **

**• Support data integration and migration activities. **

**• Learn and apply best practices in data engineering and data management. **

**• Contribute to improving data processing performance and reliability. **

**Qualifications and Requirements **

**• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. **

**• Basic understanding of databases, data structures, and data processing concepts. **

**• Familiarity with programming or scripting languages used for data handling. **

**• Knowledge of data pipelines, ETL processes, or data warehousing concepts is a plus. **

**• Strong analytical and problem-solving skills. **

**• Attention to detail and commitment to data accuracy. **

**• Ability to work collaboratively in a team environment. **

**• Willingness to learn new tools, technologies, and frameworks. **

**• Basic understanding of cloud or distributed systems is advantageous. **

**• Academic projects or internships related to data engineering are beneficial. **

**Summary **

- **The Junior Data Engineer plays an important role in supporting data infrastructure and enabling data-driven operations. This position offers hands-on experience with data systems, opportunities to build technical skills, and a strong foundation for growth in data engineering and analytics. **

Entry-Level Quality Assurance Engineer

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Industry: Business Consulting and Services
Company Size: 10,001+ employees

Deloitte

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

Are you passionate about leading the charge in emerging technologies? Do you want to join an award-winning team offering diverse opportunities, from account executives and data scientists to AI strategists, machine learning experts, and data engineers? If so, the AI Engineering Manager at SFL Scientific might be the perfect fit. SFL Scientific, a Deloitte Business, is part of our broader Strategy Offering within the Strategy & Transactions practice. Our specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Join us to expand your technical career through leadership, consulting, and becoming an industry leader in the AI engineering community.

Recruiting for this role ends on 8/31/2026.

**Work You'll Do**

As an AI Engineering Manager you will support the design, development, and deployment of novel AI applications across healthcare, life sciences, manufacturing, consumer, energy, and other sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Manager are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions.

In our consultative approach, we are platform agnostic and committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, LLM/MLOps, data engineering while streamlining IT and infrastructure. Key responsibilities include but are not limited to:

-  Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications

-  Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies

-  Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases

-  Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives

-  Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem

-  Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns

-  Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions

-  Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization

-  Mentor, motivate, and coach junior members on technical best practices and inspire professional development

A successful candidate would possess these skills:

-  Ability to work independently and collaborate as part of a team

-  Effective written and verbal communication skills

-  Meticulous attention to detail and quality of work product

-  Ability to build and sustain professional relationships

-  Ability to lead projects or workstreams

-  Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

-  Strong interpersonal skills and professional demeanor

-  Ability to meet deadlines

-  Ability to mentor and provide clear guidance to others

**The Team**

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

**Qualifications**

**Required:**

-  Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.)

-  6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment

-  6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)

-  6+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.

-  4+ years of experience managing teams in technical delivery and delivering complex and critical projects

-  4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.

-  4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)

-  3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.

-  Live within commuting distance to one of Deloitte's consulting offices

-  Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

-  Limited immigration sponsorship may be available

**Preferred:**

-  Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field

-  AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)

-  2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

AI Engineering Manager - SFL Scientific

SiritechSolutions Corp (“Siritech”) is an IT professional services firm providing expertise to empower clients’ businesses. We have proven expertise in the areas of Application Development, Business Intelligence, Enterprise Resource Planning and Infrastructure Optimization that improves business performance. We deliver best-in-class solutions to serve client needs. 

In an industry that is constantly changing, SIRITECH the face of stability. We are a thriving company. We have focused solely on Information Technology services since our inception. We’re proud of the trusted, long-term relationships we’ve built with our clients and consultants, including companies we’ve done business with since day one, and IT professionals who have worked with us.

Industry: Information Services
Company Size: 51-200 employees

SIRITECH SOLUTIONS CORP

**Total Required Experience in Years: Minimum 7+ Years (DBMS Management & ETL/Data Engineering), Minimum 3+ Years (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Purview)**

**Job Description: **Seeking an experienced Data Architect to support enterprise data warehouse modernization initiatives through enterprise data architecture, logical and physical data modeling, ETL design, source-to-target mapping, governance, and data optimization activities. The ideal candidate should possess strong expertise in large-scale database systems, Azure-based data platforms, ETL engineering, SQL, Spark, Python, and Scala while supporting secure, compliant, and high-performing enterprise data solutions. This role requires hands-on experience designing Operational Data Stores (ODS), data warehouses, data marts, data lineage, metadata standards, governance procedures, and performance optimization while ensuring regulatory, security, privacy, and audit readiness requirements are met.

**Key Responsibilities**

-  Define enterprise logical and physical data models for large-scale data environments

-  Develop source-to-target mappings and transformation strategies for enterprise systems

-  Design Operational Data Stores (ODS), data warehouses, and data mart structures

-  Establish data standards, metadata rules, naming conventions, and governance procedures

-  Define and maintain data quality rules, validation standards, and lineage processes

-  Lead enterprise data ingestion, transformation, and data distribution strategies

-  Optimize database performance, indexing, batch processing, error handling, and recovery strategies

-  Support high-performance ETL pipeline development and enterprise data integration

-  Partner with developers, analysts, architects, and stakeholders to align enterprise data architecture needs

-  Produce technical documentation for models, mappings, governance standards, and audit readiness

**Additional Responsibilities**

-  Act as Subject Matter Expert (SME) for enterprise data architecture best practices

-  Advise teams on integration patterns, modeling strategies, and technology selection

-  Support regulatory, privacy, traceability, and compliance requirements

-  Maintain secure and compliant data governance frameworks including RBAC implementation

-  Complete department security awareness requirements and background verification activities

-  Support continuous improvements in enterprise data management and modernization efforts

**Required Skills**

-  Minimum 7 years managing large and complex DBMS environments

-  Minimum 7 years of ETL development and data engineering experience

-  Minimum 3 years of hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Purview

-  Strong SQL development and optimization expertise

-  Experience building scalable and high-performance ETL pipelines

-  Expertise in Spark, Python, and/or Scala for data processing

-  Strong understanding of Azure data governance, RBAC, and security protocols

-  Experience implementing secure, compliant ETL and enterprise data solutions

-  Strong enterprise data modeling, lineage, governance, and optimization experience

**Qualifications**

-  Strong expertise in enterprise data architecture and modernization initiatives preferred

-  Experience advising teams on data modeling, architecture, and integration strategies preferred

-  Experience supporting secure, regulated, or compliance-driven environments preferred

-  Strong documentation, governance, and stakeholder collaboration skills preferred

-  Experience with AWS warehouse environments, AWS S3, and Data Sync preferred

-  Knowledge of compliance frameworks involving CJI, HIPAA, and PII preferred

**Certifications**

-  Microsoft Azure Data Engineer Associate preferred

-  Azure Solutions Architect Expert preferred

-  Azure Fundamentals preferred

-  Databricks Data Engineer Associate preferred

Data Architect  OBIS Modernization Project

MobexHealth provides technology-enabled healthcare solutions to support whole-person virtual care and promote health equity in every community. 

MobexHealth solutions are flexible and configurable, designed to meet client needs with mobile devices, intuitive apps, automated processes, seamless integrations, and device management for a streamlined experience.

Join us in transforming healthcare one digital innovation at a time. Connect with MobexHealth today to revolutionize your healthcare technology experience.

Industry: Technology, Information and Internet
Company Size: 11-50 employees

MobexHealth

MobexHealth is seeking a Data Engineer with strong analytics, automation, and data platform experience to help build and scale our end-to-end data ecosystem — transforming activity across our apps, tablets, kiosks, and integrations into actionable insights, automated reporting, and AI-ready data structures.

This role will support the foundation of how MobexHealth measures impact, drives operational decisions, and scales future predictive and AI capabilities across healthcare programs and member engagement platforms.

You will work closely with engineering, product, analytics, and leadership teams to transform fragmented platform data into structured, scalable, and usable intelligence.

**What You’ll Do **

**1. Data Engineering – Build & Support the Data Platform **

- Help design and maintain scalable cloud-based data platforms and warehouses

- Build ingestion pipelines for:

- Mobile applications

- Tablet and kiosk deployments

- Usage logs and telemetry

- API integrations

- External datasets (claims, eligibility, SDOH, etc.)

- Support event-based data models across multiple products and deployments

- Develop ETL/ELT pipelines for batch and near real-time processing

- Monitor and optimize data platform performance, reliability, and scalability

**2. Analytics & Data Insights **

- Help translate engagement and operational data into measurable KPIs and insights

- Support implementation of event tracking frameworks across engineering teams

- Build curated datasets and analytical models to support:

- Engagement analytics

- ER diversion and utilization reduction

- Care gap closure

- Behavioral health follow-up (FUH/HEDIS)

- State and health plan reporting

- Partner with Product and Leadership teams to support reporting and analytics initiatives

- Assist in connecting technical data systems with business needs

**3. Reporting, Dashboards & Automation **

- Build and maintain automated reporting pipelines

- Support development of dashboards and reporting tools for:

- KPI tracking

- Deployment performance

- Cohort analysis

- State and plan comparisons

- Reduce manual reporting through:

- Automated data refresh processes

- Scheduled reports and alerts

- Self-service analytics capabilities

- Support near real-time reporting where appropriate

**4. AI & Predictive Data Support **

- Structure and prepare datasets for:

- Machine learning workflows

- Predictive analytics initiatives

- Feature engineering

- Support reusable data pipelines for future AI and automation projects

- Assist with:

- Risk stratification models

- Engagement prediction initiatives

- Early intervention analytics

- Work with analytics and AI teams to maintain clean and reliable training datasets

**5. Data Quality, Governance & Operations **

- Help establish and maintain:

- Data standards

- Naming conventions

- Documentation and lineage

- Support implementation of:

- Data validation checks

- Monitoring and alerting systems

- Automated pipeline testing

- Ensure data integrity, security, and HIPAA-aware practices

- Help support scalable multi-state and multi-client deployments

**Required Qualifications **

- 3+ years of experience in Data Engineering or Analytics Engineering

- Strong proficiency in Python and SQL

- Experience building ETL/ELT pipelines

- Experience working with cloud platforms (AWS, Azure, or GCP)

- Understanding of:

- Data modeling concepts

- Data warehousing fundamentals

- Structured and event-based data systems

- Experience working cross-functionally with engineering, product, or analytics teams

- Strong analytical and problem-solving skills

**Preferred Qualifications **

- Experience supporting AI/ML or predictive analytics workflows

- Familiarity with:

- Feature engineering

- Training datasets

- Product analytics or telemetry data

- Experience with BI and dashboarding tools (Tableau, Power BI, Looker, etc.)

- Knowledge of healthcare, Medicaid, or regulated data environments

- Familiarity with streaming or real-time technologies (Kafka, Kinesis, Pub/Sub)

- Experience working in a startup or fast-scaling environment

**Additional Requirements **

- 3+ years of professional experience in Data Engineering or related roles

- Must be authorized to work in the United States

- No visa sponsorship available

Data Engineer, AI & Analytics

Precision Technologies Corp. (PTC) is an NJ headquartered boutique professional services firm mapping the right IT talent for our customers. We are Women and Minority owned and operated company.  
Our technological capabilities are in the areas of Agile Transformation, Business Analysis, Cloud Services (AWS/Azure), Data Management, Enterprise Application Development, Devops, RPA Automation, Pega, Salesforce and UI/UX. 
We serve our clients from diverse industries with domain-specific expertise in IT, Health Care, BFSI, Telecom, E-commerce, Retail, Manufacturing, Hi-Tech, Oil & Gas, Utilities & others. Our clients present across the United States.
With rich experience & right talent pool, we are geared up to address the GAP in IT talents' DEMAND-SUPPLY through an Innovative, Best-In-Class recruiting engine, backed by a dedicated Client-Centric service focus.
Precision Technologies delivers the service to support its customer journey towards greater performance by partnering with them for a long haul. 
•         Capability to implement, manage and support the hiring plans of the customers with flexible pricing.
•         Flexible staffing model for rapid ramp up or ramp down.
•         A decentralized delivery model utilizing cost-effective, time-bound and scalable solutions.
•         T&M Resource Engagement for cost-effective delivery.
•         SOW Resource Engagement for risk-free delivery.
•         Best-In-Class Staffing Services for niche roles.
•         Comprehensive Background Checks.

Industry: IT Services and IT Consulting
Company Size: 501-1,000 employees

Precision Technologies

**Job Title:a ** **Data Architect (Microsoft Fabric) **

**Experience: ** **12+ Years **

**Location: Remote **

**Employment Type: ** **Full-time **

**Job Description: **

We are seeking a highly skilled **Data Architect with Microsoft Fabric experience ** to join our growing data team. The ideal candidate will have extensive experience in data architecture, data engineering, and modern cloud-based data platforms, with a focus on designing scalable and efficient data solutions.

**Key Responsibilities: **

- Design, develop, and implement **data architecture solutions using Microsoft Fabric **

- Build and optimize **data pipelines, data lakes, and data warehouses **

- Collaborate with business stakeholders to understand data requirements and translate them into scalable solutions

- Define and enforce **data modeling standards, governance, and best practices **

- Work closely with data engineers, analysts, and BI teams to enable seamless data access and reporting

- Ensure data quality, integrity, security, and compliance across systems

- Optimize performance and scalability of data platforms

- Support migration of legacy systems to modern data platforms (Fabric / Azure ecosystem)

**Required Skills & Qualifications: **

- 12+ years of experience in **Data Architecture / Data Engineering **

- Hands-on experience with **Microsoft Fabric (mandatory) **

- Strong expertise in:

- Azure Data Services (Data Factory, Synapse, Data Lake)

- Data Modeling (Dimensional & Relational)

- ETL/ELT pipelines

- Proficiency in **SQL, Python, or similar programming languages **

- Experience with **Power BI or other visualization tools **

- Strong understanding of **data governance, security, and compliance **

- Excellent problem-solving and communication skills

**Preferred Qualifications: **

- Experience working in **enterprise-scale data environments **

- Exposure to **real-time data processing and analytics **

- Knowledge of **cloud architecture and distributed systems **

- Prior experience working with cross-functional and global teams

**Eligibility Criteria: **

- Candidates on **GC, USC, L2S, H4 EAD, TN, OPT EAD ** are encouraged to apply

- Must be open to **relocation across the USA ** or willing to work in **key states such as New Jersey, New York, etc. **

- **No C2C / consultancy profiles ** will be considered

**What We Offer: **

- Opportunity to work on cutting-edge **Microsoft Fabric and cloud data platforms **

- Collaborative and growth-oriented environment

- Competitive compensation and benefits

**For Faster approach shoot your resumes at karthik.n@precisiontechcorp.com . Feel free to refer profiles by sending it to the same email **

Data Architect (Microsoft Fabric)

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.

The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

Industry: Internet Marketplace Platforms
Company Size: 10,001+ employees

Uber

Uber Advertising is looking for a data-driven strategist to join our Strategy & Planning team. In this role, you will develop scalable data systems, define data standards, and build tools that power decision-making across the advertising organization. You will partner with cross-functional teams - from sales and operations to product and finance - to ensure our monthly and quarterly business reviews are grounded in accurate, accessible, and actionable data, and to deliver the insights and infrastructure that support the long-term growth and evolution of Uber's advertising business.

This role is ideal for someone who thrives at the intersection of analytics, business strategy, and data engineering, and who can translate complex datasets into impactful business insights and scalable solutions.

---- What the Candidate Will Do ----

-  Design and Build Data Products: Create and maintain dashboards, reports, and analytical tools that support monthly and quarterly business reviews (MBRs/QBRs) as well as other critical operational workflows.

-  Drive Data Governance & Standards: Establish and enforce data definitions, KPIs, and governance practices to ensure accuracy, consistency, and trust across the ad org.

-  Scale Data Infrastructure: Partner with engineering and analytics teams to design systems that enable efficient data ingestion, transformation, and accessibility for the business.

-  Enhance Data Fluency: Develop frameworks, documentation, and training to increase data literacy across the advertising organization.

-  Enable Strategic Planning: Collaborate with strategy leaders to align data insights with business goals, investment decisions, and go-to-market strategies.

-  Automate and Streamline: Identify and execute on opportunities to automate reporting and analysis workflows, freeing teams to focus on strategic decision-making.

**Basic Qualifications**

-  Bachelor's degree in Business, Data Science, Statistics, Economics, Computer Science, or a related field (or equivalent work experience).

-  1+ years of experience in analytics, data science, data product management, or business strategy, ideally in a high-growth technology or advertising environment.

-  Proficiency in SQL and at least one data visualization tool (Looker, Tableau, Power BI, etc.).

-  Strong understanding of business KPIs and ability to translate business needs into technical requirements.

**Preferred Qualifications**

-  2+ years of employment experience in consulting, strategy, operations, or analytics within high-growth or matrixed environments

-  Proficiency in Python or similar programming languages

-  Experience in advertising technology, media, or marketplace businesses.

-  Track record of building scalable, self-service data systems for non-technical stakeholders.

-  Excellent communication skills and the ability to influence cross-functional partners.

-  Strong project management skills with the ability to manage multiple priorities.

-  Experience with data modeling, ETL processes, and cloud-based data warehouses (e.g., BigQuery, Snowflake).

For Chicago, IL-based roles: The base salary range for this role is USD$95,500 per year - USD$106,250 per year. For New York, NY-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For Chicago, IL-based roles: The base salary range for this role is USD$95,500 per year - USD$106,250 per year. For New York, NY-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Strategy & Planning Analyst, Uber Advertising

Creating Winning Teams for Tomorrow’s Tech Challenges

Looking for top-tier talent to drive innovation? At Acunor, we specialize in building high-performance teams with expertise in AI, Machine Learning, Salesforce, Java, .NET, Data Engineering, and Data Science. Our AI-powered recruitment process ensures precise talent matching for your most critical roles, delivering teams that are technically advanced, culturally aligned, and ready to tackle complex challenges.

Why Choose Acunor?

Tech-Driven Specialization in AI and emerging technologies
Precision Talent Matching for a strategic fit Agility & Scale to meet your unique staffing needs.

Partner with us to create future-ready teams for success in the fast-evolving tech landscape.

Industry: IT Services and IT Consulting
Company Size: 11-50 employees

Acunor

Acunor is Hiring: **Data Scientist – Sports Analytics **

Location: New York, NY (Hybrid)

Job Type: Full Time

We are looking for a Data Scientist with strong experience in Python SQL and Machine Learning to support advanced analytics initiatives in a Sports Media and Entertainment environment

🔹 Build and deploy machine learning and statistical models

🔹 Analyze fan and customer behavior data to generate business insights

🔹 Develop end to end analytical solutions using Python and SQL

🔹 Perform feature engineering model tuning and validation

🔹 Support NLP based analysis for survey and unstructured data

🔹 Collaborate with data engineering and business teams to operationalize models

**Must Have Skills **

✔ Strong experience with Python and SQL

✔ Hands on experience in Machine Learning and Statistical Modeling

✔ Experience building production ready ML solutions

✔ Knowledge of regression classification clustering and predictive analytics

✔ Strong analytical and stakeholder communication skills

**Nice to Have **

Experience in Sports Media Marketing or Customer Analytics

Exposure to MLOps concepts

Experience with AWS Azure or GCP

Data Scientist – Sports Analytics

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.

We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.

Industry: Software Development
Company Size: 10,001+ employees

Intuit

**Overview**

Intuit is a global platform company that is on a mission to power prosperity around the world for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem.

We are seeking a Fraud Analyst to join our Trust & Safety Policy team. In this role, you will take ownership over fraud & content moderation policy & strategy for Mailchimp, and lead high scale projects that include a tight collaboration with global teams (Analytics ,Product, Data engineering, AI/ML, R&D, Compliance). Your primary responsibility will be to establish policies & constant optimization while getting sound decisions that balance risk, user experience and financial performance.

You’ll be a good fit to this role if you are:

- A problem solver with strong analytical skills.

- A creative and critical thinker.

- Have demonstrated ability to juggle competing priorities, drive multiple initiatives in parallel, and deliver outcomes quickly in a dynamic, ambiguous environment"

- Naturally inquisitive and always looking to expand your knowledge.

- Capable of working independently and making decisions with little direction.

- Capable of communicating ideas clearly and concisely.

**Responsibilities**

- Fraud Intelligence & Pattern Detection — Transform complex data into actionable insights by identifying emerging fraud patterns, attack vectors, and abuse trends across Intuit's product ecosystem, with a focus on Mailchimp content moderation and product abuse.

- Policy Development & Optimization — Establish, refine, and continuously optimize fraud and content moderation policies, making sound, data-driven decisions that balance risk mitigation and user experience

- Cross-Functional Program Leadership — Lead high-impact, large-scale initiatives, driving tight collaboration across global teams

- Stakeholder Communication & Influence — Communicate regularly with leadership, peers, and cross-functional stakeholders — translating analytical findings into clear, business outcomes.

**Qualifications**

- 4+ years of experience doing a quantitative analysis, among them, min 2 years of experience in e-commerce, payments or financial services - Mandatory

- Rich experience in SQL, specifically on your current role

- Orientation to AI advanced tools and passion to optimize existing processes

- BA/BS in Industrial engineering/Economics/Accounting/Similar field- Advantage

- Background in content moderation / community - Advantage

- Able to express your thoughts and ideas in a fluent and clear manner

- Able to lead a project, independently and with quick decision making

- Proactive, strong “can do” approach

- Team player with great interpersonal skills

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Staff Fraud and Risk Policy Analyst

1. About Our Client:

The organization operates in the healthcare industry with a focus on reducing healthcare costs. It addresses challenges related to cost management and data utilization by leveraging technology, data, and innovation. The team is committed to delivering service excellence to stakeholders and aims to become a recognized voice in healthcare technology and analytics.

2. About the Opportunity:

The Data Analyst/ETL Developer will play a key role in transforming healthcare data into actionable insights that support decision making. This position is responsible for developing and maintaining ETL pipelines, ensuring data quality and integrity, and enabling analytics and reporting capabilities. The role directly impacts the organization’s ability to manage and analyze healthcare data efficiently and effectively.

3. Responsibilities:

• Use SQL and/or Python to collect, transform, cleanse, store, and share data while preserving privacy

• Debug mappings and correct data errors for accurate loading into target systems

• Review and analyze functional requirements and mapping documents

• Develop, maintain, and support ETL data pipelines for healthcare products and analytics

• Initialize and configure data environments for downstream analytics and reporting

• Collaborate with upstream and downstream teams for site onboarding and readiness

• Monitor production ETL jobs for failures, performance issues, and data anomalies

• Troubleshoot and resolve ETL workflow issues including failed loads and data mismatches

• Conduct root cause analysis and implement corrective and preventive measures

• Validate incoming healthcare datasets before release

• Build and maintain data validations to ensure source-target reconciliation, row completeness, business rule enforcement, and data integrity

4. Requirements:

• Bachelor’s degree in Computer Science, Data Analytics, IT, Finance, or related field

• 6 months to 1 year of experience with SQL and data analytics

• Proficient in SQL for data manipulation, extraction, and analysis

• Strong analytical and problem-solving skills with ability to interpret complex data

• Detail-oriented and proactive problem solver

• Familiarity with agile development and collaborative work environments

• Effective communication skills to translate technical concepts for non-technical stakeholders

5. Pay Range and Compensation Package:

• Salary range is $80,000 to $90,000, adjusted based on education, experience, skills, location, and internal equity

• Eligibility for health insurance, 401(k), and bonus opportunities

6. Benefits & Perks:

• Medical, dental, and vision coverage with low deductible and copay

• Life insurance

• Short and long-term disability coverage

• Paid parental leave

• 401(k) with employer match

• Employee Stock Purchase Plan

• Paid time off accrued based on years of service

• 10 paid company holidays

• Tuition reimbursement

• Flexible Spending Account

• Employee Assistance Program

• Sick time accrual consistent with applicable state laws

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

Data Analyst/ETL Developer (remote)

Find Data Engineer jobs in United States with Savvy's AI Recruiter. Browse opportunities from top companies and get matched with roles that match your skills using our intelligent recruitment system.