General Motors

Staff Data Engineer - AI & Cloud

General Motors • $160K — $211K *
Austin, TX 78745Hybrid
Information Technology
8 - 10 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field or equivalent experience
  • 8-10+ years in data engineering or related roles
  • Expertise in Python, SQL, Scala, or R for data processing
  • Experience with big data frameworks like Databricks, Spark, Kafka, or Hadoop
  • Knowledge of cloud platforms such as Azure, AWS, or GCP
  • Proficiency in data modeling and relational/NoSQL databases
  • Understanding of data governance and security controls

Responsibilities

  • Design and evolve scalable data architectures and environments
  • Integrate data pipelines with ML platforms for AI/ML use cases
  • Lead design and implementation of large-scale data pipelines
  • Establish best practices for data quality and observability
  • Optimize solutions on cloud platforms using native services
  • Translate complex business requirements into technical roadmaps
  • Mentor engineers to improve technical capabilities
  • Incorporate emerging technologies like Generative AI into workflows

Benefits

  • Variety of health and wellbeing benefit programs
  • Medical, dental, and vision coverage
  • Health Savings Account and Flexible Spending Accounts
  • Retirement savings plan
  • Paid vacation and holidays
  • Tuition assistance programs
  • Employee assistance program and GM vehicle discounts
Full Job Description
Job Description

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

The Role

A Staff Data Engineer operates as a recognized expert in data engineering with strong cross-functional visibility, leading complex initiatives that improve GM's data platforms, cloud architecture, and AI-enablement capabilities.

This role designs and delivers scalable, secure, cloud-native data solutions; builds highly automated, performant pipelines; and enables advanced analytics and machine learning use cases across the enterprise.

What You'll Do
  • Design and evolve scalable, high-performance data architectures, including data warehouses, data lakes, and mesh environments
  • Design ML models and enable AI/ML use cases by integrating data pipelines with machine learning platforms, feature/data products, vector or retrieval pipelines, and model-serving workflows where needed.
  • Lead the design and implementation of large-scale data pipelines, data architectures, and cloud-based data platforms for ingestion, transformation, storage, and consumption.
  • Establish and enforce organization-wide best practices for data quality, lineage, observability, security, and CI/CD operations
  • Architect and optimize solutions on cloud platforms such as Azure, AWS, or GCP, using native data services and containerized/orchestrated deployments where appropriate.
  • Partner with data scientists, analysts, and executive stakeholders to translate complex business requirements into technical roadmaps
  • Mentor engineers and raise technical capability across the organization in areas such as distributed data processing, cloud engineering, AI-enablement, and platform reliability.
  • Identify and integrate emerging technologies, such as Generative AI (GenAI), into data workflows for automated validation and performance tuning.


Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Engineering, or a related field; or equivalent experience.
  • 8-10+ years in data engineering or related technical leadership roles
  • Strong expertise in Python, SQL, Scala, or R with a focus on large-scale data processing, optimization, and performance tuning.
  • Extensive experience with big data frameworks such as Azure Databricks, Apache Spark, Kafka, or Hadoop for large-scale data processing.
  • Deep knowledge of cloud platforms and data services such as Azure, AWS, or GCP.
  • Strong command of data modeling, relational and NoSQL databases, and scalable storage design.
  • Strong understanding of data governance, privacy, and security controls for enterprise data systems.
  • Demonstrated ability to lead large-scale technical initiatives and align engineering outcomes to broader business goals.
  • Strategic thinking with the ability to align technical solutions to GM business priorities.
  • Strong communication and stakeholder management across technical and non-technical audiences.
  • Advanced problem solving, architectural judgment, and continuous learning mindset.


What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Master's degree in Computer Science, Data Engineering, or a related field
  • Experience enabling or building AI/GenAI data foundations, including embedding pipelines, RAG/vector search, or production AI workflows.
  • Experience with Docker, Kubernetes, and cloud-native deployment/operations patterns.
  • Familiarity with observability and production reliability for data and AI systems.
  • Proven ability to influence enterprise standards, mentor senior engineers, and drive adoption of new capabilities across teams.
  • Experience in Automative or Manufacturing Industry is preferred


This job may be eligible for relocation benefits.

Compensation:
  • The expected base compensation for this role is: $160,000 - $211,950. 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.


GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

#LI-CC1

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

Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who drive success at General Motors.

Job Alert Emails

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

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at General Motors

More Information Technology Jobs

Find similar Staff Data Engineer - AI & Cloud jobs:

NationwideAustin, TX