Join us as we celebrate 50 years of empowering our 50 million investor-owners.* Since our founding in 1975, we’ve been on a mission to help investors achieve their goals.

With no outside shareholders to answer to, we make decisions—including keeping investing costs as low as possible—with our clients’ needs in mind. Whether you’re investing for your first house, college for your kids, or a comfortable retirement, you can be confident we’re on your side.

We are a community that thinks—and feels—differently about investing. Together, we’re changing the way the world invests. Let’s celebrate 50 years together.

Community guidelines: vgi.vg/sgl1

*As of January 2025

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

Vanguard

Savvy Admin PROD

We're the AI Center of Excellence within the Chief Data and Analytics Office. We work on projects that enable AI practitioners build AI products quickly and confidently. We work on many open problems around AI safety and evaluations. One way that we do so is by finding vulnerabilities in Gen AI applications with an automated adversarial testing service. We're looking for people who are technically sharp and effective communicators to help design and deploy this service. This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.

Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.

**Core Responsibilities**

- Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.

- Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.

- Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.

- Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.

- Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.

- Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.

- Participates in special projects and performs other duties as assigned.

**Qualifications**

- Minimum of five years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.

- Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred.

**Special Factors**

**Sponsorship**

Vanguard is not offering visa sponsorship for this position.

**About Vanguard**

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

**How We Work**

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Senior AI/ML Scientist

The Lab is a management consulting firm that helps executive project sponsors realize sustainable and transformative process and financial benefits for their businesses by implementing standardization-based improvement and automation. 

The Lab’s patented methods help simplify, standardize, and automate everything:
Products and Services....Increase consistency at the regional, national, and global level.
Business Processes.......Create employee-friendly operations that retain talent.
KPIs & Data.....................Identify the "Super KPIs" that grow your business.
Digital Automation.........Find and implement the most valuable automation use-cases quickly.

For almost 3 decades, The Lab has successfully implemented initiatives with medium, large, and Fortune 1000 clients that deliver consistent, sustainable benefits.

Contact us: 
info@thelabconsulting.com

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

The Lab Consulting

We are a mid-sized Management Consulting, Automation, and Data/Process Science firm, established in 1993, serving Fortune 1000 companies throughout North America. We have developed a unique, template-based and data-centric approach to our client projects, which are conducted off-site from our Houston office. The Lab is proud to announce we have invested in a new office build out in the Galleria area. We are mindful of employee experience and currently operate at 50% capacity in the office.

We are seeking a data scientist who is passionate about business processes, automation, operational data measurement, and the intellectual challenge analyzing them offers. The person we seek has previous experience in successful data science roles, performing strategic analysis and, or, operations improvement projects. The data scientist will be part of a management consulting and data science team that performs analysis on client data and assists with the development, implementation and integration of pioneering solutions using different methods, techniques and tools. You will ensure the rigor and underlying logic of the team's findings, optimize the analytical storyline and develop superior, easy to comprehend documentation operational analysis.

The data scientist will be responsible for gathering, analyzing and documenting business processes, developing business cases, developing analytics dashboards and providing domain knowledge to the team. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Simultaneously, you will help senior management further standardize the consulting tasks and related work product with the objectives of: reducing analytical cycle time, lowering labor costs and reducing document rework and editing. As you become more familiar with our product offering, you will also contribute to the refinement and extension of our findings and tools database/website which includes benchmarks, best practices and thousands of business process maps.

**Responsibilities **

- Interface with clients to gather operational data for analysis

- Analyze raw data from consulting client projects across multiple industries: assessing quality, cleansing, structuring for downstream processing

- Develop Power BI and Tableau dashboards

- Design accurate and scalable prediction algorithms

- Collaborate with team to bring analytical prototypes to production

- Generate actionable insights for business improvements

- Work alongside clients and internal team members to develop interactive, customer-facing business dashboards

- Work with internal team members to develop methods to transform data to prepare for analysis and reporting

- Manage the structure and functionality of our internal databases

- Maintain and build tools to assist our research teams in updating, organizing and expanding existing database content

- Navigate client roadblocks that slow down projects

- Proactively report to internal team and clients on overall progress, potential issues, areas of potential improvement, etc.

**Qualifications **

- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

- At least 1 - 2 years' of experience in quantitative analytics or data modeling

- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms

- Fluency in a programming language (Python, C,C++, Java, SQL)

- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Data Scientist

Take charge of the way you apply for your next job with TalentAlly, the job board for diverse professionals. We partner with major companies in the nation across every industry dedicated to a more inclusive work culture. Join us at one of our many job fairs, explore endless opportunities, and discover your future with TalentAlly.

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

TalentAlly

**Why USAA? **

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

**The Opportunity **

We offer a flexible work environment that requires an individual to be **in the office 4 days per week. ** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL Relocation assistance is **not ** available for this position.

**This individual will be part of the Bank Member Remediations team. The focus will be to create audience files for bank remediations, gathering requirements, exploratory data analysis to test requirements and provide data insights to remedy financial impacted members. **

Provide decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

**What you'll do: **

- Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.

- Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.

- Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

- Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.

- Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

- Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

- Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.

- Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.

- Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

- Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy.

- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

**What you have: **

- Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

- 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).

- Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

- Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

**What sets you apart: **

- The candidate must be well-versed in the problem-solving process.

- Intermediate level SQL coding proficiency.

- Experience with SAS, Python, or VS Code is a desirable additional skill.

- Familiarity with Copilot (or similar) for debugging and enhancing code efficiency.

- Previous experience in the banking sector in a similar capacity.

- Experience working directly with issues and remediation within a professional context is highly valued.

- US military experience through military service or a military spouse/domestic partner.

**Compensation range: **The salary range for this position is: $93,770 - $168,790.

**USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). **

**Compensation: ** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

**Benefits: ** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

~~Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. ~~

~~USAA is an Equal Opportunity Employer. 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. ~~

PDN-a1dd7ec8-4922-4f96-bf70-baa251b1ecd0

Welcome to DataAnnotation! We pay smart folks to train AI. We offer a remote, flexible work model- you choose your own hours and get to work when you want, whenever you want. Apply now through our open Job Listings.

Industry: Software Development
Company Size: 5,001-10,000 employees

DataAnnotation

We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.

**Benefits**

- This is a full-time or part-time REMOTE position

- You’ll be able to choose which projects you want to work on

- You can work on your own schedule

- Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work

**Responsibilities**

- Give AI chatbots writing and editing tasks and evaluate their outputs

- Evaluate the quality produced by AI models for correctness and performance

**Qualifications**

- Fluency in English (native or bilingual level)

- Detail-oriented

- Demonstrated proficiency in related technical, statistical, and mathematical skills

- A current, in progress, or completed Masters and/or PhD is preferred but not required

**Notes**

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.

#math

Yum! Brands, Inc., based in Louisville, Kentucky, and its subsidiaries franchise or operate a system of over 60,000 restaurants in more than 155 countries and territories under the Company’s concepts – KFC, Taco Bell, Pizza Hut and the Habit Burger Grill. The Company's KFC, Taco Bell and Pizza Hut brands are global leaders of the chicken, Mexican-style food, and pizza categories, respectively. The Habit Burger Grill is a fast casual restaurant concept specializing in made-to-order chargrilled burgers, sandwiches and more.

What makes Yum! a great place to work? It's our people. As the world's largest restaurant company, we invest in people capability so that our global workforce can make the most of their careers. With ongoing opportunities for personal and professional success, we've built a culture that rewards and recognizes great effort while providing the flexibility that is so important to all of us.

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

Yum! Brands

~~**Location Requirement: Hybrid onsite in Louisville, KY, Plano, TX or Irvine, CA** ~~Yum Crave AI is seeking a Data Scientist (AI/ML Modeling & Algorithms) to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on moderately complex modeling assignments, applying established data science techniques to deliver scalable AI/ML solutions in partnership with cross-functional teams.

This role is ideal for a data scientist who is strengthening their expertise in applied modeling and progressing toward senior-level ownership.

AI / ML Model Development

- Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)

- Translate business and operational requirements into structured modeling problems with guidance from senior team members

- Perform feature engineering, model training, validation, and evaluation using defined best practices

- Contribute to improving existing models and pipelines

Experimentation & Model Evaluation

- Support the design and analysis of experiments (e.g., A/B tests, simulations) under guidance

- Monitor model performance and identify opportunities for improvement

- Apply standard processes to assess model quality, accuracy, and reliability

Data & Technical Execution

- Work with structured and semi-structured datasets to prepare data for modeling

- Write clean, maintainable Python and SQL code

- Partner with Data Engineering and ML Engineering to support model deployment

Collaboration & Communication

- Clearly communicate analytical findings to technical and non-technical stakeholders

- Document assumptions, methodologies, and results

Build strong working relationships within the immediate team and cross-functional partners

- Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)

- 2+ years of experience in data science or machine learning

- Experience applying machine learning techniques to real-world problems

- Proficiency in Python and SQL

- Understanding of model evaluation metrics and validation approaches

**Preferred Qualifications**

- Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)

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

- Familiarity with experimentation methodologies (A/B testing)

- Experience collaborating with engineering teams on production deployments

Salary Range: 106,600 - 133,200

**Benefits **: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! -Click here.

At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC (“YRSG”) and Yum Connect, LLC (“Yum Digital and Technology”)(collectively, “Yum”) is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

~~US Job Seekers/Employees - ~~~~Click here ~~~~to view the “ ~~Know Your Rights~~” poster and supplement and the Pay Transparency Policy Statement. ~~

Data Scientist (AI/ML Modeling, Forecasting and Algorithms)

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

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

YETI

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

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

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

**Responsibilities**

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

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

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

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

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

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

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

- Enforce data quality, reliability, and governance best practices

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

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

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

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

**Qualifications And Attributes**

- Bachelor’s degree in computer science or related discipline

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

- Expert in writing, analyzing and tuning complex SQL queries

- Extensive experience with Python programming

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

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

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

- Strong problem-solving ability and a positive attitude

- Experience in extracting data from SAP HANA and Salesforce tools

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

- Experience with Java and NodeJS

- Terraform, Docker, and CI/CD experience preferred

LW1

**Benefits & Perks**

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

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

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

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

YETI Applicant Privacy Notice

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

Sr. Data Engineer

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

🌟 Our Data Science Program Features:

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

Industry: Education
Company Size: 2-10 employees

KNOWFINITY

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

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

**Responsibilities**

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

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

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

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

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

- Monitor and troubleshoot data pipelines and production jobs.

- Support reporting, analytics, and business intelligence initiatives.

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

**Qualifications**

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

- Strong experience with SQL and relational databases.

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

- Experience working with ETL tools and data pipeline development.

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

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

- Knowledge of data warehousing concepts and dimensional modeling.

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

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

**Preferred**

- Healthcare domain experience preferred

- Exposure to HIPAA-compliant environments is an advantage

- Strong analytical and problem-solving skills

**What We Offer**

- Opportunity to work with a Fortune 500 Healthcare organization.

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

- Collaborative and technology-driven work environment.

- Competitive compensation package.

- Long-term growth and career advancement opportunities.

**Work Authorization**

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

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

Data Engineer

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

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

Tesla

**What To Expect**

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

**What You'll Do**

- Define requirements and perform validation of manufacturing execution systems

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

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

- Monitor key product metrics, understanding root causes of changes

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

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

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

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

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

**What You'll Bring**

- Degree in Engineering, or equivalent experience

- Extensive experience writing software with Python

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

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

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

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

**Benefits**

**Compensation and Benefits**

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

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

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

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

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

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

-  Company paid Basic Life, AD&D

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

-  Employee Assistance Program

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

-  Back-up childcare and parenting support resources

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

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

, Tesla

Data Engineer, Quality, Megafactory

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

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

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

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

Be part of the future: tinyurl.com/ConsultantCareerForm

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

Tech Consulting

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

**What This Role Requires: **

- 1-4 years of programming experience after your degree

- Must have coding experience in both Python and SQL.

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

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

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

- Familiarity with Apache Flink or Apache Storm

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

- Familiarity with AI and ML techniques.

- Good to have knowledge of Hadoop and Scala.

**To Qualify: **

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

- Strong English communication skills, both written and verbal.

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

**What’s In It For YOU? **

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

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

- Enjoy comprehensive W2 employee benefits.

**Who Are We? **

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

**Company Highlights: **

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

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

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

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

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

Knowvia Tech Inc

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

📍 Employment Type: Full-Time

🎓 Education: Master's Degree (recently completed)

📅 Experience: 4–5 Years

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

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About the Role

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

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Key Responsibilities

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

• Develop lakehouses and data warehouses in OneLake / Microsoft Fabric

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

• Create Power BI dashboards and reports within the Fabric ecosystem

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

• Collaborate with stakeholders to translate requirements into analytics solutions

• Ensure data quality, governance, and documentation standards

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Requirements

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

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

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

✅ Strong SQL and Python/PySpark skills

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

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

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Nice to Have

• Experience with Delta Lake, dbt, or Azure Synapse

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

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

• Knowledge of Microsoft Purview for data governance

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

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