General Motors

Senior Data Engineer

General Motors • $138K — $175K *
Warren, MI 48089Hybrid
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's in Computer Science or related field, or equivalent experience
  • 5+ years of relevant experience in data engineering
  • Strong skills in data pipeline development and data integration
  • Proficiency in Python, Scala, SQL, and ETL frameworks
  • Experience with cloud platforms like Azure, AWS, or GCP
  • Ability to independently manage complex technical challenges
  • Collaborative expertise across engineering and analytics teams

Responsibilities

  • Design and optimize data pipelines in Azure Databricks for AI and analytics
  • Transform raw data into structured datasets for analytics and model development
  • Drive process improvements for enhanced team efficiency
  • Solve complex data engineering challenges with advanced analytical techniques
  • Collaborate with data scientists and stakeholders to ensure data accessibility
  • Support AI use cases by enabling high-quality data and scalable model development
  • Mentor team members and influence engineering decisions

Benefits

  • Diverse health and wellbeing benefit programs
  • Medical, dental, and vision insurance options
  • Retirement savings plan with contributions
  • Paid vacation and holidays
  • Tuition assistance programs
  • Employee assistance program
  • Vehicle discounts for GM employees
Full Job Description
Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to GM 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

This role is for a senior individual contributor in Data Engineering who can independently lead complex technical work, apply strong professional judgment, and improve processes, services, and delivery patterns across the organization. At this level, the individual is expected to operate with minimal guidance, resolve non-standard problems using advanced analytical thinking, and serve as a technical resource for less experienced team members.

The role is anchored in data engineering and includes an additional data science profile to strengthen AI data enablement, experimentation support, and close collaboration with data scientists and business partners. Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure, transform raw data into high-quality datasets for analytics and advanced data science use cases, and partner closely with data scientists, analysts, software engineers, and business teams. Data scientists are expected to apply analytical and machine learning techniques, explore and prepare data, validate models, design experiments, and translate findings into actionable recommendations.

What You'll Do
  • Design, build, and productionize reliable, scalable, and secure data pipelines and data products in Azure Databricks that support AI, analytics, and operational use cases.
  • Lead the transformation of raw data from multiple source systems into trusted, well-structured datasets suitable for downstream analytics, model development, and AI enablement.
  • Drive improvements in internal processes, delivery patterns, and technical solutions that support broader functional strategy and increase team efficiency.
  • Solve complex and non-standard data engineering problems using advanced analytical and problem-solving techniques, with strong ownership and sound technical judgment.
  • Partner closely with data scientists, analysts, software engineers, product stakeholders, and business teams to ensure data is accessible, trustworthy, and aligned to business outcomes.
  • Support AI and data science use cases by enabling high-quality feature-ready data, experimentation workflows, and scalable patterns for model development and deployment.
  • Contribute to technical direction within the team, influence key engineering decisions in their area, and act as a go-to resource for peers and less experienced engineers.
  • Mentor team members through technical guidance, knowledge sharing, and strong engineering practices consistent with Level 7 expectations.


Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience.
  • 5+ years of relevant full-time experience; or equivalent knowledge
  • Strong experience in data engineering, including pipeline development, data modeling, data integration, and production support for enterprise data platforms.
  • Data engineering experience, including Python or Scala, SQL, and relational/non-relational data storage (ETL frameworks, big data processing, NoSQL).
  • Experience with cloud platforms - Azure preferred; AWS or GCP also considered.
  • Proficiency with SQL, key-value datastores, and document stores
  • Design, build, and optimize scalable batch and streaming data pipelines using Databricks (Apache Spark, Delta Lake) to support Medallion Architecture.
  • Experience with modern cloud data platforms, distributed processing, and production-grade data pipelines.
  • Demonstrated ability to work independently, manage broad technical challenges, and deliver solutions with limited guidance.
  • Experience collaborating across engineering, analytics, and business teams to deliver data solutions that support measurable outcomes.
  • Understanding of statistics, machine learning, experimentation, and data mining concepts used to drive informed decisions.
  • Ability to prepare and explore data, support model development workflows, and help validate analytical outputs in partnership with data scientists.
  • Ability to translate analytical needs into scalable data solutions and help move data science work from exploration into repeatable, governed delivery.
  • Strong communication skills to connect technical work with business value and convert complex findings into clear recommendations.


What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Master's degree in Computer Science, Software Engineering, or related field
  • Experience supporting AI or machine learning use cases through strong data foundations, feature engineering support, experimentation enablement, or model-ready data preparation.
  • Experience working in environments where data engineering and data science operate closely together to deliver business value at scale.
  • Demonstrated mentoring, technical leadership, and process improvement impact consistent with a Level 7 senior individual contributor role.


This job may be eligible for relocation benefits.

Compensation:
  • The expected base compensation for this role is: $138,700 - $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.

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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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