At Pyramid Technology Solutions, we specialize in providing single-source IT solutions. Our in-depth knowledge of existing and growing technology trends allows us to understand your unique technology challenges and help you overcome them in a timely and cost-effective manner. Whether you’re in need of talented IT personnel, customized software or project management, our experienced professionals are ready to help.

See the Services tab above and visit our website www.pyramidinc.com to learn about the IT services and products we offer.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Pyramid Technology Solutions

Savvy Admin PROD

**Position: Lead Data Engineer **

**Location: San Francisco, CA - Hybrid **

**Duration: 9+Months with possible extension **

**Main skills **: SQL, Databricks, ADF, DataStage (or other ETL tool), SSAS cubes, Cognos/other, Tableau/other, ThoughtSpot

**Job Description: **

We are seeking a Lead Data Engineer to design, implement, and maintain our data infrastructure and business intelligence solutions. This role requires a technical expert who can architect scalable data solutions while collaborating across teams to drive business insights.

**Required Experience: **

- 8-10 years of software development and deployment experience

- At least 7 years of hands-on experience with:

- SQL

- Databricks

- Azure Data Factory (ADF)

- DataStage (or other ETL tools)

- SSAS cubes

- BI tools (Cognos, Tableau, ThoughtSpot, etc.)

- Strong Database knowledge (SQL & No-SQL preferred)

- Advanced SQL and Python skills

- Experience working with APIs for data collection/ingestion

**Key Responsibilities: **

**Technical Development: **

- Write SQL for processing raw data, Kafka ingestions, ADF pipelines, data validation, and QA

- Lead, design and implement innovative analytical solutions using Tableau, SQL, and Big Data technologies

- Experience with storing, joining, filtering, and analyzing data using SQL, Spark, Hive, etc.

Senior Data Engineer

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.

We're a community of nonprofit professionals who recognize that technology is integral to our work and lives. We've seen firsthand in our communities that access to technology and using it effectively is a consistent barrier across all forms of inequity. Together we can dismantle existing systems of oppression and create new ways for our organizations to approach technology strategically and deploy it in racially equitable ways.

Industry: Non-profit Organizations
Company Size: 11-50 employees

NTEN

Employment

Data Engineer / Senior Data Engineer

**Organization**

Movement Labs

**Type**

Full-Time

**Salary**

$90,000 to $119,000

/ Yearly

**Four-day Week**

No

**Description**

Movement Labs is an incubator and consulting firm that uses technology, data, and experimentation to stop fascism and build progressive power. We help progressives win and defeat MAGA extremists through year-round work grounded in research and real-world testing. Our team partners with leading advocacy groups, grassroots organizers, and electoral campaigns to develop innovative tactics, win elections, and shift power for the long term.

As the R&D powerhouse for the progressive movement, we’ve run over 100 randomized controlled trials (RCTs) on voter behavior and helped hundreds of organizations increase their impact. We work hard, and the environment evolves rapidly. We are adaptable, nimble, and shift quickly as needed to meet the moment. We are looking for candidates who thrive in this type of environment.

We are looking for 2 roles, one Senior and one Senior or Mid-level Data Engineer to join the Tech department.

**What The Work Looks Like For Our Data Team**

- Design and implement scalable data architecture for targeting and engagement

- Serve as technical partner to program teams

- Extend our foundational datasets to facilitate new outreach strategies

- Load-test our systems to prepare for elections

- Maintain key datasets for polling images and precinct cross-matching

- Develop standardized experimental frameworks for testing campaign effectiveness

- Build AI tooling that makes our own team faster — QC agents for data deliveries, the evals to trust them, and context systems that keep our repos self-documenting

Our data team’s work mixes greenfield builds, pragmatic plumbing, incident response, and operational work. The relative mix shifts with the political calendar.

These roles will run from June 1 through November 20. These roles are fully remote.

**Responsibilities**

- Shape the pipelines and integrations feeding our RCT platform and our foundational voter datasets: the APIs, replication, federation layers, experiment randomization, and the failure modes that come with running data systems for hundreds of partner organizations on a non-negotiable political calendar

- Extend our data platform and orchestration layer, and optimize it for cost, runtime, and reliability so it holds up during the elections, with millions of outreach attempts

- Lead projects that span multiple systems and teams — scoping, designing, and driving them to real milestones

- Hold the bar on quality — test and validate your own work, review teammates’ code, and mentor through that review

- Document and communicate — make your systems understandable to teammates, stakeholders, and non-engineers

- Rotate through on-call and rapid response, including evenings and weekends during high-stakes moments like election cycles

**Requirements**

- Passionate about progressive politics and leveraging data, technology, organizing, and research to build political power

- 3–6+ years of experience (Senior or Mid-level) in designing, building, and operating production data pipelines and integrations

- Strong proficiency in SQL and Python, with hands-on experience across a modern data stack — cloud data warehouses (BigQuery or similar), a transformation framework like dbt, and an orchestrator like Dagster or Airflow

- A track record of leading technical work across multiple systems or teams, and scoping ambiguous problems end-to-end

- Sound judgment about when to refactor, when to ship pragmatically, and how to leave systems better than you found them

- Strong written communication — you document what you build and can explain complex systems to non-engineers

- Genuine commitment to the mission of stopping fascism and building progressive power, and comfort operating on a political calendar

**Nice To Have**

- Experience in the progressive, political, advocacy, or nonprofit sector — including awareness of c3/c4/PAC boundaries and the sensitivities of political and voter data

- Familiarity with election results, voter file data, and the tools campaigns use to organize, text, and contact voters

- Experience on Google Cloud Platform

- Experience in on-call rotations and mentoring less-experienced engineers

We’re looking for candidates with a wide range of skills and experience. If you’re excited about the job, even if you don’t match all the characteristics, we encourage you to apply.

**Benefits**

- Full year equivalent salary of $90,000–$99,000 for Data Engineer (Level 3) or $110,000–$119,000 for Senior Data Engineer (Level 5) as part of a transparent salary structure with clear levels of advancement, and an additional Cost-of-Living salary Adjustment.

- Excellent health, dental, and vision benefits, 401(k) matching, and unlimited Paid Time Off (vacation time is limited during Election Sprint, August 24–November 3).

- Remote-first culture with teammates across the country.

- These positions are temporary and will run through November 20. We love to keep top performers if possible.

- These positions are not eligible for the collective bargaining unit.

Applications submitted by May 11, 2026 will be given priority. Applications may be reviewed earlier on a rolling basis so it benefits candidates to apply as soon as possible. The application process includes an initial screen, an exercise, one or two full interviews, and a reference check. Due to the nature of our work, the process is moving quickly, and we hope candidates will start by June 1, 2026. Applicants must be legally eligible to work in the United States. We are not able to provide sponsorship at this time.

Movement Labs is an equal opportunity employer with a commitment to economic and social justice. Women, people of color, LGBTQ people, people with disabilities, and members of other historically disenfranchised populations are strongly encouraged to apply. If you require accommodations as part of the hiring process, please contact careers@movementlabs.com.

Applications are reviewed by our hiring team—not automated systems. Our hiring process may include AI-assisted analysis of candidate materials, however, hiring decisions are made by human reviewers.

Apply

Back to the Job Board

Data Engineer / Senior Data Engineer

At AMH, we’re redefining what it means to make a home yours. And we’re doing it with care. Since 2012, we've grown to become a leading owner, operator, and developer of single-family rentals in the nation, recognized as a U.S. News 2024 Best Real Estate Companies to Work For, 2024 Great Place to Work®, America's Most Responsible Companies 2024 by Newsweek and Statista Inc., Fortune's 2023 Best Workplaces in Real Estate™, 2023 Most Loved Workplace®, and Builder100 2023 Top U.S. Homebuilder.
 
Powered by a team of local experts, we manage almost 60,000 rentals across the country, home to about 200,000 people. Our goal is to simplify the leasing experience through professional management and maintenance support, so residents can focus on what’s important to them, wherever they are in life.
 
That’s why we're building a team that understands the power of community. We take care of each other, so that together we can take care of the people that make their home with us. As we expand, we continue to cultivate an inclusive workplace with competitive benefits and growth opportunities. Come build your career with us.
 
AMH refers to one or more of American Homes 4 Rent, American Homes 4 Rent, LP, and their subsidiaries and joint ventures. In certain states, we operate under AMH Living or American Homes 4 Rent. Please see www.amh.com/dba to learn more.
 
As a publicly traded company, we're listed on the New York Stock Exchange as AMH.

Industry: Real Estate
Company Size: 1,001-5,000 employees

Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work®.  At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.

The **Senior Data Engineer ** is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.

**Responsibilities: **

- Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API’s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.

- Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.

- Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.

- Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

**Requirements: **

- Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

- Master’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.

- Minimum of eight (8) years of experience as a data engineer with full-stack capabilities

- Minimum of ten (10) years of Experience in programming

- Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.

- Strong SQL Knowledge

- Experience in ML and ML Pipeline a plus

- Experience in real-time integration, developing intelligent apps and data products.

- Proficiency in Python and experience with CI/CD practices

- Strong background in IAAS platforms and infrastructure

- Hands-on experience with Databricks, Spark, Fabric, or similar technologies

- Experience in Agile methodologies

- Hands-on experience in the design and development of data pipelines and data products

- Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.

- Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.

- Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.

- Extensive experience in designing data applications in a cloud environment.

- Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.

- Extensive experience in Data Architecture and data modeling

- Expert in data analysis and data quality frameworks.

- Knowledgeable with BI tools such as Power BI and Tableau.

- May occasionally work evenings and/or weekends.

**Compensation**

The anticipated pay range/scale for this position is $122,573.13 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.

**Additional Compensation**

This position is eligible to receive a discretionary annual bonus.

Perks and Benefits

Employees also have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.

Background Check

Background check required. AMH will consider for employment qualified applicants with arrest or conviction records in accordance with all applicable federal, state and local laws, which may include the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

**CA Privacy Notice: **To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice.

At Apolis, we are a global team of IT practitioners and digital strategists laying the foundation for growth. Based in El Segundo, CA, we are a digital consultancy that integrates experts and leading IT technology solutions into your organization. We provide strategic insight to fast-growing companies, help them digitalize end-to-end business processes, and achieve scale with world-class talent. We thrive in delivering results in three service areas: IT Talent Search, Professional Services (Managed Services, ERP, Offshore) and Digital Services. We provide staffing and implement technology solutions with companies like Illumina, Walt Disney Pictures, VF Corporation, and Airbnb Inc to bring them to the next evolution of their business.

Industry: IT Services and IT Consulting
Company Size: 501-1,000 employees

Apolis

**Senior Data Engineer**

**Duration : 12 months with extensionsRemote work**

**Senior Data Engineer ** with experience in designing, building, and scaling modern data platforms, data warehouses, and analytics ecosystems. The ideal candidate has deep expertise in **dbt **, **Snowflake **, **cloud data warehousing **, **ETL/ELT pipelines **, and **data modeling **, along with a proven ability to partner with business stakeholders to deliver high‐impact, analytics‐ready data products.

This role is highly technical and hands-on, requiring strong SQL development, data architecture skills, and experience building governed, scalable transformation layers using modern data engineering best practices.

**Data Architecture & Engineering **

- Architect, design, and build **end‐to‐end data warehouses ** and analytics models across Sales, Marketing, Finance, Customer Support, and Product domains.

- Develop scalable **dbt pipelines ** using medallion architecture (bronze/staging, silver/intermediate, gold/marts).

- Build **incremental models **, optimize SQL transformations, and reduce compute costs through performance tuning.

- Create **custom dbt macros ** for data transformations and process standardization.

- Implement **CI/CD workflows ** for dbt deployments across Dev, QA, and Production environments.

**Data Modeling & Governance **

- Design complex **dimensional models **, semantic layers, and star/snowflake schemas for enterprise analytics.

- Implement **dbt snapshots ** to track SCD changes for customers, contracts, entitlements, and product adoption.

- Meet with stakeholders to understand requirements and build Business views to support those needs.

**Leadership & Collaboration **

- Act as the **dbt subject matter expert **, you will help in defining standards and best practices.

- Mentor junior and mid-level engineers, promoting engineering rigor and code quality.

- Partner with Product Owners, Analysts, and business leaders to translate requirements into scalable technical solutions.

**Required Skills & Experience **

- 5+ years in Data Engineering, ETL/ELT development, or Data Architecture.

- Expert-level SQL and strong experience with:**dbt Core/Studio ****Snowflake **

- Strong understanding of **data warehousing **, **dimensional modeling **, and **governance **.

- Experience with **Git ** for version control and release management.

- Excellent communication, problem-solving, and cross-functional collaboration skills.

**Preferred Qualifications **

- Experience working with SnapLogic.

- Background in building customer-facing data products.

- Experience with observability tools (Splunk).

- Proficiency in **Python. **

- Experience with**Databricks **development.

Zeta cloud-based marketing technology company that empowers brands to acquire, grow and retain customers. 

We are on a mission to be the preferred software platform for enterprises to accelerate growth and enrich the connections they have with their customers. The Zeta Marketing Platform (ZMP) activates on every online and offline marketing channel (including Email, Connected TV, SMS, Website, Social Media, and more) with sophisticated AI that analyzes billions of consumer data signals to predict consumer intent, personalize experiences, and accelerate growth for brands.

The company was founded in 2007 by David A. Steinberg and John Sculley with the vision that data was going to change the way marketers engage with consumers to drive successful business outcomes. Today, Zeta has over 1000 customers across 15 verticals, including financial services, CPG, retail, telecom, automotive, travel & hospitality, and more. 

We have over 1400+ employees around our global offices with our HQ in New York City.

Industry: Marketing Services
Company Size: 1,001-5,000 employees

Zeta Global

**WHO WE ARE **

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

**The Role **

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.

**What You’ll Do **

- Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).

- Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.

- Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.

- Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).

- Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.

- Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.

- Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.

- Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

**Qualifications **

- 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.

- Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).

- Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.

- Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).

- Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.

- Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).

- Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).

- Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.

- Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).

- Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.

- Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.

**Preferred Experience **

- AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.

- Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).

- Experience supporting ML feature stores, offline/online feature generation, or model training datasets.

- Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.

- Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.

- Open-source contributions, publications, or conference speaking.

- BS/MS in CS/Engineering or equivalent practical experience.

**BENEFITS & PERKS **

- Unlimited PTO

- Excellent medical, dental, and vision coverage

- Employee Equity

- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

**SALARY RANGE **

The salary range for this role is $165,000 - $175,000, depending on location and experience.

**PEOPLE & CULTURE AT ZETA **

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/

**ZETA IN THE NEWS! **

https://zetaglobal.com/press/?cat=press-releases

Simpson Thacher & Bartlett LLP is one of the world’s leading international law firms. The Firm was established in 1884 and has more than 1,000 lawyers. Headquartered in New York with offices in Beijing, Brussels, Hong Kong, Houston, London, Los Angeles, Palo Alto, São Paulo, Tokyo and Washington, D.C., the Firm provides coordinated legal advice and transactional capability to clients around the globe.




This website contains attorney advertising. Prior results do not guarantee a similar outcome.

Industry: Law Practice
Company Size: 1,001-5,000 employees

Simpson Thacher & Bartlett LLP

The Senior Data Engineer is responsible for designing, building, and optimizing enterprise-scale data pipelines and analytics platforms across the Microsoft data ecosystem. This role leads the development of robust, scalable data solutions using Azure Data Factory, Databricks, Microsoft Fabric, SQL Server, and Python to support advanced analytics, machine learning, and business intelligence workloads. The engineer partners closely with architects, data scientists, and business stakeholders to modernize data platforms, implement best practices, and ensure high-quality, reliable data delivery across the organization. This position requires deep technical expertise, strong problem solving skills, and the ability to drive end to end data engineering initiatives in a cloud-first environment.

**Essential Job Duties & Responsibilities**

- Lead the design, development, and implementation of advanced data pipelines and ETL processes using Azure Data Lake Storage and Azure Data Factory.

- Architect and manage scalable data solutions on Databricks for high-performance data processing and analytics.

- Oversee the development and optimization of SQL Server databases and queries to meet complex reporting and analytical needs.

- Write and maintain Python scripts for sophisticated data transformation, analysis, and automation tasks.

- Spearhead data migration projects from on-premises systems to Azure cloud services, ensuring strategic planning, minimal disruption, and data integrity.

- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand and translate data requirements into technical solutions.

- Troubleshoot and resolve complex data-related issues, ensuring high data quality and reliability.

- Monitor, optimize, and scale data workflows to improve performance and cost-efficiency.

- Develop and enforce best practices for data engineering processes, documentation, and governance.

**Education**

**Required**

- Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience in lieu of formal education.

- Legal IT experience a plus but not required

**Required**

**Skills and Experience**

- 5-7 years experience working with enterprise level relational and/or non-relational database and ETL/ELT technologies.

- Extensive experience with Azure Data Lake Storage, Azure Data Factory, Databricks, SQL Server, and Python.

- Demonstrated experience in the implementation and creation of both on-premise SQL Server Databases as well as Azure SQL Databases.

- Deep understanding of data modeling, ETL processes, data warehousing concepts, and data architecture.

- Proven track record of managing and executing large-scale data migration projects from on-premises to cloud environments.

- Advanced proficiency in SQL for complex querying and database management.

- Strong experience with Python for advanced data manipulation and automation tasks.

- In-depth knowledge of cloud computing concepts and services, particularly within Azure.

- Demonstrated leadership skills, with the ability to mentor and guide junior team members.

- Excellent problem-solving abilities and attention to detail.

- Exceptional communication skills and experience working collaboratively in a team-oriented environment.

- Experience with data governance and data quality frameworks.

- Familiarity with Azure services (e.g., Azure Synapse Analytics, Azure SQL Database, Cosmos DB) and big data technologies.

- Experience with semi-structured/NoSQL databases is a plus.

- Azure data certifications (e.g., Azure Data Engineer Associate) are a plus but not required.

**Salary Information**

NY Only: The estimated base salary range for this position is $175,000 to $200,000 at the time of posting.

The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.

Simpson Thacher will not sponsor applicants for work visas for this position.

**Privacy Notice**

For information about how Simpson Thacher & Bartlett LLP collects and processes your personal information, please refer to our Privacy Notice available at https://www.stblaw.com/other/privacy-notice.

Simpson Thacher & Bartlett is committed to a collegial work environment in which all individuals are treated with respect and dignity. The Firm prohibits discrimination or harassment based upon race, color, religion, gender, gender identity or expression, age, national origin, citizenship status, disability, marital or partnership status, sexual orientation, veteran’s status or any other legally protected status. This Policy pertains to every aspect of an individual’s relationship with the Firm, including but not limited to recruitment, hiring, compensation, benefits, training and development, promotion, transfer, discipline, termination, and all other privileges, terms and conditions of employment.

With liquidity solutions, exclusive data and insights and a vibrant marketplace, we are powering a global private market that is transparent, accessible and seamless for companies, their employees, investors and institutions.

#wearehiring

Industry: Financial Services
Company Size: 201-500 employees

Forge

At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.

With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge's goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.

**The Role:**

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

**Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.**

**Responsibilities**

- Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions

- Implement software solutions in line with provided estimates and requirements

- Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

**Qualifications**

- 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java

- Experience with scripting languages such as Python for data-related tasks

- Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)

- Experience in Private Markets or Financial Services, specifically working with financial market data

- Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality

- Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development

- Proficiency in databases such as PostgreSQL and strong SQL skills

- Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)

- Extensive experience with version control systems such as Git and platforms like GitHub

- Familiarity with Agile project management tools such as JIRA or similar tools

**Preferred Qualifications**

- Experience migrating systems from legacy architectures to modern tech stacks

- Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka

- Experience leading offshore and nearshore engineering teams

- Experience using large language models and agentic workflows

**For residents of Denver, CO the annual salary range for this role is $100,000-$125,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors**

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches.

Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.

DDN is the world’s leading data intelligence platform that reliably accelerates massive data sets across AI and HPC workloads from edge to core to cloud. 

Over the last two decades, DDN has established itself as the data intelligence and management of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers. 

Data-intensive, global organizations utilize DDN to solve complex business challenges with:
•	500,000+ GPUs enabled
•	100% GPU utilization
•	100X faster AI application acceleration

DDN is the data intelligence platform of choice deployed at Nvidia to enable Nvidia to supercharge the global AI economy

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

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

**"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC**

**“The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA**

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.

**Job Description**

We’re looking for a Senior Data Engineer to own and evolve the infrastructure and data ingestion layer that powers DDN’s enterprise data platform. You’ll be responsible for the systems that move data from source to warehouse and the platform reliability that analytics engineers and business stakeholders depend on — not the modeling or dashboarding itself, but everything underneath it. You’ll work closely with analytics engineers, data analysts, and business stakeholders across Sales, Finance, Product, and other areas.

**What You’ll Own**

-  Data ingestion — manage batch ingestion tools (Fivetran), build custom pipelines where needed, and design and implement real-time/streaming ingestion for product telemetry and event data

-  Infrastructure & architecture — manage and extend our GCP platform (BigQuery, Composer, IAM, networking) using Terraform, shape the technical direction of the platform as needs evolve, and maintain CI/CD pipelines for safe deployments across repos

-  Platform reliability — keep production systems healthy, monitor pipeline quality, investigate failures, and reduce technical debt

-  Collaboration — partner with analytics engineers on dbt and BI platform infrastructure needs; drive technical conversations about provisioning and scaling strategy

**Your Experience Includes**

-  5+ years in data engineering or platform/infrastructure engineering roles

-  Strong hands-on experience with GCP especially BigQuery, Cloud Composer (managed Airflow), IAM

-  Proficiency in Terraform (or equivalent IaC) for managing cloud resources across environments

-  Strong Python skills with demonstrated ability to build integrations, automation, and data pipelines

-  Expert SQL and understanding of data warehouse patterns (schemas, partitioning, access controls)

-  Experience with CI/CD for data infrastructure

-  Experience integrating data from diverse sources including SaaS platforms, on-prem systems, and cloud-hosted product infrastructure using both managed tools (e.g. Fivetran) and custom pipelines

-  Experience with real-time / streaming data with demonstrated experience building and operating event-driven pipelines (Pub/Sub, Kafka, Dataflow, or similar)

-  Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

**Nice to Have**

-  Experience with Sigma Computing or similar BI tool administration/API integration

-  Familiarity with data quality frameworks (e.g., Elementary, Great Expectations)

-  Experience with data governance tooling — access controls, column-level security, policy enforcement

-  Familiarity with dbt from a platform perspective — how it runs, how it’s deployed, what it needs from infrastructure

-  Prior experience in a small data team where you wore multiple hats

Salary Range for this role: $105,400.00 - $195,700.00

**DDN**

DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities:

**Self-Starter - **Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives.

**Success/Achievement Orientation - **Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable.

**Problem Solving - ** Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful.

**Innovative - ** Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively.

**DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer. ** All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. 

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

Learn more about what we do at:

https://www.fanduel.com/about
https://twitter.com/FanDuel
https://twitter.com/FDsportsbook
https://twitter.com/FanDuelCasino
https://www.facebook.com/fanduel/
https://www.instagram.com/fanduel/
https://instagram.com/FDsportsbook/
https://www.youtube.com/FanDuel

Industry: Entertainment Providers
Company Size: 1,001-5,000 employees

FanDuel

**THE POSITION**

Our roster has an opening with your name on it

We are looking for a **Senior Data Engineer ** to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You’ll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem.

As a senior member of the team, you’ll work closely with engineers, analysts, product managers, and data scientists to deliver data pipelines and platforms that drive meaningful business outcomes. The ideal candidate is a strong problem solver, a team player, and someone who brings both technical depth and a collaborative mindset to every challenge.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

**THE GAME PLAN**

Everyone on our team has a part to play

**Build & Maintain Data Infrastructure**

- Design, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systems

- Work with large-scale, complex datasets and ensure data is clean, well-modeled, and accessible across the organization

- Develop and maintain batch and streaming data pipelines and data platforms using modern tools and technologies

**Deliver High-Quality, Reusable Solutions**

- Build modular, reusable data models and assets using tools like Spark, dbt or similar frameworks

- Collaborate with stakeholders to understand business needs and translate them into reliable, production-ready data solutions

- Ensure data quality, accuracy, and consistency through validation frameworks and monitoring

**Contribute to Engineering Excellence**

- Follow and promote software engineering best practices, including testing, version control, documentation, and code reviews

- Actively participate in technical design discussions, and architecture reviews

- Help evolve our data platform and tooling to improve performance, developer experience, and scalability

**Collaborate & Communicate**

- Partner with data scientists, analysts, and product managers to support data-driven decision-making.

- Clearly communicate technical concepts, project status, and risks to stakeholders

- Share knowledge and mentor junior engineers through code reviews and collaborative problem-solving

**THE STATS**

What we're looking for in our next teammate

- 5+ years of experience in data engineering or software engineering with a focus on building data pipelines and platforms.

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

- Hands-on experience with modern data tools such as Airflow, Spark, dbt, Kafka, or Databricks.

- Deep understanding of data modeling, data warehousing, and best practices for data quality and observability.

- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).

- Strong problem-solving skills and ability to work independently in a fast-paced environment.

**Preferred Skills**

- Experience supporting analytics and machine learning workflows.

- Familiarity with data governance, privacy, and compliance frameworks.

- Experience working in a product-led or customer-centric organization.

- Familiarity with infrastructure-as-code or DevOps practices related to data systems.

**About Fanduel**

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

**Player Benefits**

We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: **FanDuel Total Rewards **. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

**The applicable salary range for this position is $138,000 - 181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.**

**FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.**

**It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.**

Lumiture helps organizations reimagine what’s possible by fusing technology, data, AI, and design to drive transformation. We deliver solutions that don’t just modernize systems—they unlock new potential. Grounded in design and proven execution, we enable clients to streamline operations, boost efficiency, and create lasting value. Our purpose is simple: luminating the future for our clients.

Industry: IT System Custom Software Development
Company Size: 2-10 employees

Lumiture

**About us: **

At Lumiture, we’re building next-generation solutions that fuse AI, data, and modern engineering to power intelligent experiences across industries. We’re not just coding apps - we’re shaping how technology helps businesses think, learn, and evolve.

If you love solving big problems, experimenting with cutting-edge tools, and making an impact from day one, you’ll feel right at home here.

**The Role: **

A unique opportunity to grow alongside a rapidly evolving team, supporting a government agency where we can make a meaningful impact.

We’re looking for a **Senior Data Engineer **to play a pivotal role in building a robust data analytics platform in Databricks that will support a skilled team of data professionals conducting product analysis on a highly visible online product.

In this role, you will work across multiple source systems, transforming how data is accessed, managed, and utilized across the organization. You’ll collaborate in an agile software development environment with cross-functional teams to deliver innovative solutions that empower data-driven decision-making.

**What You'll Have Opportunities to Do: **

- Design, build, and enhance a robust data analytics platform in Databricks to support product analysis and reporting

- Work across multiple source systems to improve how data is accessed, managed, and used across the organization

- Design and implement scalable, reliable data pipelines to support analytics and decision-making

- Optimize data infrastructure to improve data quality, availability, and scalability

- Build and enhance data feeds using technologies such as Kafka streaming, batch ETL, and API-based interfaces

- Partner with cross-functional teams in an agile software development environment to deliver innovative data solutions

- Support the development of modern data capabilities that enable a team of data professionals to analyze a highly visible online product

- Contribute to a collaborative engineering culture focused on continuous improvement and mission impact

**What We're Looking For: **

- US Citizens or Dual Citizens only

- Proven experience as a Data Engineer working with complex, enterprise-scale data environments

- Strong experience building and maintaining data pipelines and modern data infrastructure

- Hands-on experience with Databricks and building scalable analytics platforms

- Experience working across multiple source systems and integrating diverse data sources

- Strong understanding of data architecture, data management, and infrastructure optimization

- Experience with one or more of the following:

- Kafka streaming

- Batch ETL workflows

- API data interfaces

- Ability to improve data quality, availability, and scalability across data platforms and feeds

- Experience working in an agile software development environment

- Strong collaboration and communication skills, with the ability to work effectively across cross-functional teams

**Why Join Lumiture **

- Be part of a growing startup where your work has an immediate impact

- Work directly with a team that values creativity, innovation, and exploration

- Access mentorship from experienced engineers and data scientists

- Enjoy flexibility, growth opportunities, and a culture built around learning fast and thinking bold

Let's luminate the future - together!

Please follow our company page for ongoing updates!

https://www.linkedin.com/company/lumiture/

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

Industry: Business Consulting and Services
Company Size: 2-10 employees

RG&T Solutions

We are seeking a highly skilled Senior Data Engineer to join our dynamic team in Denver, Colorado. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures to support advanced analytics and business insights.

**Key Responsibilities Include**

- Building and optimizing data workflows, ETL/ELT processes, and data lakes to ensure high data quality and performance.

- Collaborating with data scientists, analysts, and stakeholders to understand data needs and deliver robust solutions.

- Implementing data governance, security, and compliance standards across all data systems.

- Monitoring and troubleshooting data pipelines to ensure reliability and efficiency.

- Evaluating and integrating new data tools and technologies to enhance data infrastructure.

Ideal candidates will possess strong expertise in SQL, Python, Spark, cloud platforms, and data modeling. Our benefits include competitive compensation, comprehensive health plans, flexible work arrangements, professional development opportunities, and a vibrant work environment that fosters innovation and growth.

Data Engineer

enableit is a risk and innovation consulting company which improves client resilience against cyber threats, financial risk and digital disruption. We offer experts in 3 core domains: 


*Digital Innovation

Digital Product Development ( Angular, React, Cloud native)
Digital Marketing Technology ( Adobe, Google, Unica, Salesforce)
Financial Technology Implementation and Customization ( EaglePace, Blackrock, Fidessa, Murex etc.)
Data Management Platforms 
Data Governance and Analytics
Data Science

*Financial Risk & Regulation:
Credit, Market, Liquidity, Operational and Model Risk 

*Cyber Security:
via our subsidiary company-Prescient Security

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

enableIT

We’re hiring for a **large-scale data transformation initiative ** focused on modernizing a complex legacy environment into a **Snowflake / Databricks lakehouse architecture **.

This is a **hands-on opportunity ** to work across **open architecture frameworks **, including **Apache Iceberg **, helping drive interoperability, scalability, and performance across a modern data platform.

We’re open to a range of profiles:

- **Data Architects / Platform Architects **

- **Platform Engineers **

- **Senior Data Engineers **

As long as you’re comfortable operating across **architecture + hands-on execution **, we’d love to connect.

🔧 What You’ll Be Working With:

- Snowflake & Databricks ecosystems

- Apache Iceberg / open table formats

- Data transformation (legacy → modern platforms)

- ETL / ELT pipelines (PySpark, Python)

- Large-scale data platforms and analytics workloads

📍 Details:

- Contract role

- Hybrid / onsite in the **Boston area **

**Benefits (W2): **

- Health insurance

- Health savings account

- Dental insurance

- Vision insurance

- Flexible spending accounts

- Life insurance

- Retirement plan

**EEO Statement: **

~~All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. ~~

Data Architect/Engineer

DoubleVerify is a leading software platform for digital media measurement and analytics. Our mission is to help advertisers succeed. Hundreds of Fortune 500 advertisers employ our unbiased data and analytics to drive campaign quality and effectiveness, and to maximize return on their digital advertising investments – globally.

Learn more at www.DoubleVerify.com.

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

DoubleVerify

**Senior Data Engineer I - Scibids ****Role: ** Senior Data Engineer I - Scibids

**Location: ** New York, NY

**Hybrid: ** 3x a week on site

**Who we are: **"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids AI empowers global brands to drive specific KPIs and tangible outcomes more effectively while improving operational efficiency and reducing manual lift. DV technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk and DV360 (Google / YouTube), to mention a few.

DV provides end-to-end, comprehensive measurement and granular optimization. DV is the recognized market innovator with the technology and tools that accurately authenticate the quality of digital media and drive ad performance for the world’s largest brands. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem that help build a better industry. Learn more at doubleverify.com.

**The Role: **As a Senior Data Engineer, you will own and build critical data and integration capabilities at the core of DV Scibids’ product expansion. You will explore partner APIs, help Product and Engineering evaluate technical opportunities and constraints, and build reliable services and data flows on top of those integrations. You will also expose internal endpoints for other DV teams, consume and reconcile data from systems across DV, and work with very large datasets generated by adtech auction environments.

This position combines strong software engineering fundamentals, a product mindset, curiosity for external systems, and the ability to design pragmatic, scalable data solutions in a complex ecosystem.

**What you will do: **

- Explore, evaluate, and integrate external partner APIs to support DV Scibids product expansion.

- Work closely with Product to clarify what partner platforms technically allow, identify constraints early, and help shape product decisions accordingly.

- Design, build, and maintain backend services and endpoints consumed by other DV teams.

- Build and maintain robust data pipelines and services that ingest, transform, and reconcile data from partner platforms and internal DV systems.

- Work with massive datasets generated by digital advertising auctions and build systems that remain reliable and performant at scale.

- Collaborate with Data Science, Analytics, Product, and other Engineering teams to bridge business needs, platform capabilities, and Scibids optimization logic.

- Operate production systems, investigate issues, assess impact, and implement durable fixes.

- Continuously release features using automated deployment tools and infrastructure-as-code frameworks.

- Improve observability, reliability, and maintainability of the systems you own.

- Provide code reviews, contribute to system design discussions, and mentor junior engineers.

- Partner with AI platform teams to enable deployment of agentic solutions

**Who you are: **

- You have 3+ years of experience in data engineering, backend engineering, or a similar role.

- You have strong programming skills in Python and SQL; experience with Java, Rust, or similar languages is a plus.

- You have experience integrating with external APIs and building production services on top of them.

- You are comfortable reasoning about ambiguous external platform behavior and turning that into robust internal abstractions.

- You have experience designing and operating data pipelines or services that work with large-scale datasets.

- You are familiar with cloud environments and modern engineering practices such as Git, CI/CD, Docker, and container orchestration.

- You are comfortable collaborating with product managers and non-technical stakeholders, and can help translate platform constraints into actionable product decisions.

- You have strong communication skills and work well across teams.

- You care about automation, reliability, observability, and data-driven decision making.

- We use AI-augmented development  style, familiarity with Claude Code or Cursor is welcome but not mandatory

- Familiarity with AdTech or auction-based systems is not required, but is a plus.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between $89,000.00 - $178,000.00. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

**Not-so-fun fact: ** Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

Sr. Data Engineer I

RBA is an award-winning, national digital and technology consultancy. Our team of user experience, creative, front / back-end developers and strategic consultants are passionate about helping our clients transform their businesses through digital and technology solutions. Recognized as one of the nation’s fastest growing private companies and consistently named a Best Place to Work, RBA attracts the industry's top creative and technical talent to help our clients deliver on the promise of technology in today’s digital era.

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

RBA, Inc.

**Senior Data Engineer – Contract to Hire **

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Data Engineer with strong Databricks expertise to join our growing Data & Analytics practice. In this role, you’ll architect, build, and optimize modern data pipelines and Databricks Lakehouse platforms that power analytics, AI/ML, and business intelligence solutions for our clients.

You’ll partner with business stakeholders, data scientists, and engineers to design scalable, secure, and high-performance data ecosystems. The ideal candidate is comfortable solving complex data challenges, optimizing Spark workloads, and setting technical direction for Databricks-based solutions.

**Responsibilities **

• Design, build, and optimize end-to-end data pipelines within Databricks across structured, semi-structured, and unstructured data sources.

• Architect and implement cloud-based Lakehouse platforms using Databricks and Delta Lake.

• Implement Medallion (Bronze/Silver/Gold) architecture and enforce best practices for data quality, governance, and security.

• Develop and optimize ETL/ELT processes using Databricks, dbt, Airflow, or Azure Data Factory.

• Optimize Spark (PySpark/Scala) workloads for performance and cost efficiency, including cluster configuration and tuning.

• Integrate real-time streaming technologies (Kafka, Kinesis, or Event Hubs) with Databricks Structured Streaming.

• Support AI/ML initiatives by building pipelines for feature engineering, MLflow integration, and RAG use cases.

• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.

• Contribute to CI/CD practices and infrastructure-as-code (Terraform) for Databricks deployments.

• Mentor junior engineers and stay current with emerging trends in Databricks and cloud-native data platforms.

**Requirements **

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 5+ years of experience in data engineering or data platform development.

• Hands-on experience building and optimizing solutions in Databricks.

• Strong programming skills in Python or Scala and experience with Spark.

• Expertise in SQL, data modeling, and modern lakehouse architectures.

• Experience with at least one major cloud platform (Azure preferred; AWS or GCP acceptable).

• Proficiency with ETL/ELT and workflow orchestration tools (Databricks Workflows, Airflow, dbt, ADF).

• Strong understanding of CI/CD, DevOps for data, and infrastructure-as-code.

• Excellent communication skills and ability to thrive in client-facing environments.

**Preferred Qualifications **

• Databricks certifications (Associate or Professional).

• Experience with Unity Catalog and enterprise data governance.

• Familiarity with Vector Databases and semantic search use cases.

• Experience supporting AI/ML workflows and cloud-based ML services.

• Certifications in AWS, Azure, or GCP.

• Experience with BI tools such as Power BI, Tableau, or Looker.

Senior Data Engineer- Contract to Hire

General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow.

For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html

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

General Motors

**Job Description**

**The Role**

The Senior Data Engineer, AI and Robotics will join the AI Research team within the Autonomous Robotics Center (ARC). This role owns the robotics data backbone that enables scalable robot learning in manufacturing — from data capture and curation through versioning, serving, and auditing. Your work will make model development reproducible, testable, and production-ready.

This is a robotics and machine learning (ML) infrastructure role, focused on multimodal robotic datasets and continuous model iteration. You will partner closely with AI researchers, robotics engineers, and plant teams to turn real-world robot behavior and failures into high-quality training data and robust production systems.

**What You’ll Do**

- Build and operate multimodal data pipelines for robotics (e.g., vision, depth, force/torque, joint states, events, metadata), including reliable capture from lab and plant-adjacent cells.

- Implement reproducible data logging and replay workflows (including ROS 2 bagging where applicable) to enable debugging, regression testing, and dataset construction.

- Own dataset lifecycle management, including versioning and lineage, provenance, governance, and data quality gates to support trustworthy model training and evaluation.

- Integrate experiment tracking and model/data traceability so teams can compare runs, reproduce results, and audit changes over time.

- Establish MLOps automation patterns (CI/CD/CT-style pipelines for ML) that reduce manual toil and increase deployment confidence for robotics AI updates.

- Partner with AI/ML, planning, and validation teams to define data contracts (schemas, labeling standards, failure taxonomies) and turn field failures into curated training datasets.

**What You’ll Need (Required Qualifications)**

- B.S. or M.S. in Computer Science, Computer Engineering, Data Engineering, or a related field.

- 6+ years of experience building production data systems and/or ML infrastructure, with practical experience supporting training pipelines end-to-end.

- Strong proficiency in Python and at least one of: C++, Scala, or Java.

- Demonstrated engineering discipline in testing, documentation, and operational reliability.

- Experience with dataset versioning, lineage, and reproducibility tooling (e.g., DVC or equivalent approaches).

- Experience with experiment tracking and model registry patterns (e.g., MLflow or equivalent tools).

- Ability to work onsite with hardware and robotics teams, and to design pipelines that handle real-world robotic logging constraints (e.g., bandwidth limits, dropped frames, timing drift).

**What Will Give You a Competitive Edge (Preferred Qualifications)**

- Hands-on robotics logging and replay experience (e.g., ROS 2 bags, system telemetry pipelines).

- Experience with simulation-to-real data workflows and dataset synthesis strategies.

- Familiarity with data governance requirements and auditability in safety-adjacent or safety-critical systems.

- Experience building tools to support data labeling workflows, quality assurance, and active learning loops.

**About GM**

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

**Why Join Us**

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

**Benefits Overview**

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting **Total Rewards resources **.

**Non-Discrimination and Equal Employment Opportunities (U.S.)**

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit **How we Hire **.

**Accommodations**

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, **email ** us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Data Engineer, AI&Robotics

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $2 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year.

Industry: Non-profit Organizations
Company Size: 1,001-5,000 employees

CDC Foundation

Data Engineer - Maryland

**Overview **

The Senior Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements.

Working within Prince George’s County Health Department, the Senior Data Engineer will support the development and operation of the enterprise data platform by building and maintaining data pipelines, supporting data ingestion and transformation, and enabling analytics and reporting use cases. This role collaborates closely with IT, data analysts, and program stakeholders to ensure data is reliable, accessible, and aligned with public health business needs.

The Senior Data Engineer serves as a senior technical contributor supporting the modernization of PGCHD’s enterprise data platform. The role focuses on designing and implementing data engineering solutions, supporting data ingestion and transformation, and enabling analytics and reporting capabilities across public health programs.

The Senior Data Engineer will be hired by the CDC Foundation and assigned to the Prince George’s County Health Department. This position is eligible for a fully remote work arrangement for U.S. based candidates.

**Responsibilities **

Azure Synapse & Medallion Architecture

- Design and implement Azure Synapse Analytics solutions using Spark pools, dedicated and serverless SQL pools

- Implement and operationalize Medallion Architecture (Bronze, Silver, Gold) layers within Azure Data Lake Storage Gen2 (ADLS).

- Develop reusable, parameter-driven data pipelines leveraging Synapse pipelines and Azure Data Factory–style orchestration.

Data Ingestion, Transformation & Modeling

- Ingest and integrate data from diverse internal and external public health sources (clinical, operational, surveillance, census, and partner data).

- Build Spark-based transformations and SQL-based data models to cleanse, standardize, and enrich data.

- Design and maintain dimensional and analytical data models optimized for reporting, dashboards, and advanced analytics.

Performance, Reliability & Cost Optimization

- Monitor, troubleshoot, and tune Synapse workloads for performance, scalability, and cost efficiency.

- Identify and resolve data pipeline failures, data quality issues, and processing bottlenecks.

- Implement logging, monitoring, and alerting for production-grade data pipelines.

Data Governance, Security & Compliance

- Implement data governance, metadata management, and lineage using Microsoft Purview.

- Support compliance with public health data security, privacy, and regulatory requirements (HIPAA, CDC guidance, and county policies).

- Apply role-based access control (RBAC) and data protection best practices across Azure resources.

Collaboration & Stakeholder Engagement

- Partner with public health program leaders, analysts, epidemiologists, and informatics teams to translate defined business needs into technical solutions

- Ensure data products are analytics-ready and aligned with reporting, performance management, and decision-support needs.

- Communicate technical concepts, progress, and recommendations clearly to both technical and non-technical stakeholders.

Engineering Standards & Knowledge Transfer

- Apply data engineering best practices including source control, CI/CD, automated testing, documentation, and code reviews.

- Provide technical guidance related to data engineering implementations and best practices

- Support documentation and knowledge sharing to promote sustainability of data solutions

- Stay current on Azure data platform capabilities and data engineering trends relevant to public health use cases

**Required Qualifications **

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

- Minimum 5 years of professional experience in data engineering, analytics engineering, or data warehousing roles.

- Hands-on experience with Microsoft Azure data services, particularly Azure Synapse Analytics and ADLS Gen2.

- Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java.

- Experience developing Spark-based data transformations and scalable ETL/ELT pipelines.

- Solid understanding of data warehousing concepts, dimensional modeling, and analytics-oriented data design.

- Experience implementing engineering best practices such as source control, CI/CD pipelines, automated testing, and peer review.

- Familiarity with agile development methodologies and modern software design patterns.

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

- Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.

- Experience collaborating with distributed and remote teams.

- Up to 10% domestic travel may be required.

**Preferred Qualifications **

- Experience working with public health, healthcare, or government data environments.

- Familiarity with Microsoft Purview for data governance and lineage.

- Experience supporting Power BI or other analytics and visualization tools.

- Knowledge of HIPAA, public health data standards, and regulatory compliance.

- Prior experience designing enterprise-scale Azure data platforms using Medallion or Lakehouse architectures.

**Job Highlights **

- Location: Remote, must be based in the United States, Up to 10% domestic travel may be required.

- Salary Range: $103,500-$143,500 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.

- Position Type: Grant funded, limited-term opportunity

- Position End Date: June 30, 2027

In business since 2001, Premier Cloud is a proud Google Cloud Premier Partner that specializes in cloud migrations, Google Workspace Licensing, end-user support, and infrastructure modernization. With expertise in deploying data, API, and collaboration solutions to clients across North America, Premier Cloud’s team of data engineers and cloud architects are dedicated to unlocking new business possibilities for clients with Google Cloud, maximizing the return on their investment.

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

Premier Cloud

**About Premier Cloud**

Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize, collaborate, and scale through the power of cloud technology. Founded in 2001, we deliver cloud consulting, managed services, and tailored solutions to SMB and enterprise clients across North America.

As one of Canada’s fastest-growing companies, we help businesses unlock the full potential of Google Cloud, along with leading SaaS platforms like JumpCloud, Lumin, and Virtru. Our team is driven by innovation, technical excellence, and a shared commitment to delivering measurable impact for our clients.

At Premier Cloud, we take pride in maintaining a collaborative, light-hearted culture that values creativity, growth, and inclusion. Year after year, we’re recognized as a Great Place to Work-Certified™ organization and featured among the Best Workplaces in Technology.

**About The Role**

As a Google Cloud Data Engineer at Premier Cloud, you will play a critical role in empowering our clients to leverage the full potential of GCP for their data initiatives. You will be responsible for designing and implementing robust data solutions that enable clients to gain valuable insights, make informed decisions, and drive innovation. You will work closely with clients, cloud architects, and developers to deliver end-to-end solutions that meet their specific needs and objectives.

**Responsibilities**

**Architect and Design**

- Collaborate with clients to understand their data challenges and goals.

- Design and implement scalable, high-performance data solutions on GCP.

- Develop data pipelines, data warehouses, and data lakes using GCP services (BigQuery, Dataflow, Dataproc, etc.).

- Optimize data architectures for cost-efficiency and performance.

**Data Engineering**

- Build and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources.

- Ensure data quality, integrity, and security throughout the data lifecycle.

- Work with cloud architects and developers to integrate data solutions into end-to-end client applications.

**Client Success**

- Conduct client readiness assessments to leverage Google Cloud for data analysis.

- Provide technical guidance and support to clients throughout project lifecycles.

- Contribute to the development of internal best practices and knowledge sharing.

**Qualifications**

**Minimum Qualifications**

- GCP Expertise

-  Proven experience in designing, building, and deploying data solutions on GCP.

- Data Warehousing and Pipelines: Strong expertise in SQL, data warehouse design, and data pipeline development.

- Cloud Architecture: Understanding of cloud architecture principles and best practices.

- Communication Skills: Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.

**Preferred Qualifications**

- Data Engineering: 3+ years of experience in a data engineering role.

- Looker: Experience with Looker or other data visualization tools.

- AI/ML: Knowledge of AI/ML technologies and their application in data solutions.

- GCP Certifications: Professional Data Engineer or other relevant GCP certifications.

Google Data Engineer

Delta System & Software, Inc. is one of the fastest growing IT service companies in the United States. We have presence in three country USA, Canada and India and expanding our operation in Middle East and Europe.  We are leading providers of ERP, e-Business solutions and offering a full range of SAP Services from design through implementation, development, training and support. We provide high quality on-site and remote consulting services for growing enterprises worldwide and give them a significant competitive advantage.

Our objective is to enhance the success of our clients by providing solutions for projects and cost-effective consulting services for their business needs.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Delta System & Software, Inc.

**Role: **Sr. Snowflake Data Engineer

**Location: **Dallas, TX – 5 Days onsite role

**Duration: **Permanent

**Type: **Fulltime/FTE

** **

**Job Description: **

- Technical leadership guiding distributed engineering teams in crafting and delivering robust, enterprise-level data platforms aligned with architectural standards and business goals.

- Experience developing robust data engineering solutions, with a strong focus on performance, reliability, and maintainability.

- Expertise in Oracle PL/SQL, SQL scripting, and relational database design.

- Established proficiency with enterprise data tools, including workflow/ETL platforms (Informatica), orchestration tools (Autosys), and modern data warehousing technologies (such as Snowflake).

- Commitment to engineering excellence using DevOps, CI/CD, and automation practices using tools such as Maven, Jenkins, Git, and Docker.

- Basic proficiency in Java, Python, REST APIs, or AWS is a plus

- Experience in the financial services industry or related domains (preferred but not required).

- **Candidate communication should be very good. **

Sr. Snowflake Data Engineer

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