General Motors

Senior Data Engineer

General Motors • $119K — $175K *
Austin, TX 78745Hybrid
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, software engineering, data science, or related field, or equivalent experience.
  • 5+ years of relevant experience in data engineering or software engineering.
  • Experience supporting AI or machine learning with feature engineering or model deployment.
  • Proficiency in Python or Scala, advanced SQL, and Unix/Linux.
  • Experience with cloud data services like Azure Data Lake or AWS EMR.

Responsibilities

  • Design, build, and productionize secure, scalable data pipelines in Azure Databricks.
  • Transform data from multiple sources into curated datasets for analytics.
  • Develop and optimize ETL/ELT workflows using Apache Spark and Delta Lake.
  • Enable self-service analytics through governed data products and reusable APIs.
  • Implement data quality, lineage, monitoring, and access controls to ensure data reliability.

Benefits

  • Health and wellbeing benefit programs including medical, dental, and vision.
  • Retirement savings plan and investment options.
  • Paid vacation and holidays.
  • Tuition assistance programs.
  • Employee discounts on GM vehicles.
Full Job Description
Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

We're looking for a hands-on Senior Data Engineer to build the next generation of telematics data products that power analytics, artificial intelligence, and decision-making across the enterprise.

This role is about creating trusted, reusable, analytics-ready data products that make complex telemetry data easier to discover, understand, and use at scale. You'll help move the organization from custom analytics and duplicated logic toward standardized, reusable data products that deliver consistent value across teams.

You'll help define foundational datasets, shared metrics, and curated data products that enable teams across engineering, product, quality, safety, and operations to unlock the value of connected vehicle data.

Your work will help establish a trusted, common data foundation for connected vehicle insights. By replacing duplicated analytical logic with reusable, governed data products, you'll improve consistency, increase adoption, and accelerate analytics, machine learning, and AI use cases across the enterprise. You'll make complex telemetry data easier to discover, understand, and use-helping teams move faster from raw signals to confident decisions about product quality, vehicle performance, safety, and operations.

What You'll Do
  • Design, build, and productionize secure, scalable batch and streaming data pipelines in Azure Databricks and cloud environments.
  • Transform data from multiple source systems into trusted, well-structured datasets for analytics, AI, machine learning, and operational use cases.
  • Develop and optimize ETL/ELT workflows using Apache Spark, Delta Lake, and medallion architecture.
  • Enable self-service analytics and GenAI use cases through governed data products, reusable APIs, semantic layers, and trusted data services.
  • Enable AI and data science workflows through feature-ready and model-ready datasets, curated context for GenAI applications, experimentation support, and repeatable delivery patterns.
  • Implement data quality, lineage, monitoring, validation, access controls, and privacy practices to ensure reliable and compliant data products.
  • Improve engineering processes, automation, delivery patterns, platform performance, scalability, and cost efficiency.
  • Partner with data scientists, analysts, software engineers, product teams, and business stakeholders to deliver measurable business outcomes.
  • Troubleshoot production issues, resolve root causes, and maintain reliable data platform operations.
  • Contribute to engineering standards, reusable frameworks, technical documentation, and a culture of data product thinking.
  • Influence technical direction, mentor engineers, document solutions, and promote strong engineering practices.


Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in computer science, software engineering, data science, or a related field, or equivalent experience.
  • 5+ years of relevant experience in data engineering, software engineering, or a related discipline.
  • Experience supporting AI or machine learning through feature engineering, model-ready data, experimentation workflows, or model deployment.
  • Experience building GenAI, retrieval-augmented generation, natural-language analytics, or self-service data tools.
  • Experience with cloud data services such as Azure Data Lake, Azure Kubernetes Service, AWS EMR, or comparable technologies.
  • Experience with workflow orchestration, CI/CD, infrastructure as code, automated testing, and data observability.
  • Strong experience with enterprise data pipelines, data modeling, data integration, and production support.
  • Proficiency in Python or Scala, advanced SQL, and Unix/Linux.
  • Hands-on experience with Databricks, Apache Spark, Delta Lake, and distributed data processing.
  • Experience with relational, key-value, document, or other NoSQL data stores.
  • Experience designing data solutions on Azure; AWS or GCP experience is also applicable.
  • Knowledge of batch and streaming architectures, cloud platforms, Kubernetes, and distributed systems.
  • Experience with data formats such as JSON, Parquet, Avro, and XML.
  • Understanding of data governance, privacy, security, data quality, and responsible AI practices.
  • Ability to work independently, solve complex problems, manage competing priorities, and communicate technical concepts clearly.


What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Master's degree in computer science, software engineering, data science, or a related field.
  • Experience with data catalogs, metadata management, lineage, and governance platforms such as Atlan, Collibra, or Alation.
  • Demonstrated technical leadership, mentoring, cross-functional collaboration, and process improvement impact.


This job may be eligible for relocation benefits.

Compensation:
  • The expected base compensation for this role is: $119,200 - $175,450. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.


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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

Keep Up to Date

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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