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General Motors

Senior Data Engineer – Agentic AI, Automation, and Data Platforms

Salary$139k – $174k
LocationWarren, Michigan, United States of America; Austin, Texas, United States of America
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
Company size10,000+ people
First seenOct 8, 2026 · 3d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have8
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related field, or equivalent experience
5+ years of relevant professional experience
Strong experience in data engineering, including pipeline development, data modeling, data integration, distributed processing, and production support for enterprise data platforms
Experience using Python or Scala, SQL, Apache Spark, and modern cloud data platforms; Azure is preferred, and AWS or GCP experience is also considered
Experience designing, building, and optimizing scalable batch and streaming data pipelines using Databricks, Delta Lake, and medallion or comparable lakehouse architecture
Hands-on experience using AI-assisted development or automation tools such as Cursor, Claude, GitHub Copilot, or comparable platforms to improve engineering productivity and delivery
Hands-on experience with LLMs, Vector Search, RAG, Databricks agents, or comparable technologies used to build or enable production AI solutions
Demonstrated ability to work independently, move quickly through ambiguity, influence technical decisions, and deliver measurable improvements in quality, reliability, efficiency, or business value
Nice to have7
Experience building or operating Databricks agents, Vector Search solutions, LLM applications, RAG workflows, Genie spaces, Glean integrations, or similar Agentic AI platforms
Experience applying evaluation, monitoring, access controls, guardrails, and governance to AI or agent-enabled solutions
Experience partnering with data scientists or ML engineers on feature engineering, experimentation, model development, model serving, or productionization of AI solutions
Experience with infrastructure as code, APIs, data contracts, platform automation, or reusable engineering libraries and templates
Experience in manufacturing, supply chain, automotive, planning, or another complex operational domain
Demonstrated mentoring, technical leadership, and process improvement impact consistent with a Level 7 senior individual contributor role
Master's degree in Computer Science, Software Engineering, Data Engineering, or related field
Eligibility1
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.
Skills
Azure Databricks
Python
Scala
SQL
Apache Spark
Azure
AWS
GCP
Databricks
Delta Lake
Cursor
Claude
GitHub Copilot
LLMs
Vector Search
RAG
Genie
Glean
Benefits
Health insurance
Dental insurance
Vision insurance
Health savings account
Flexible spending accounts
Retirement savings plan
Life insurance
Paid vacation
Paid holidays
Tuition assistance
Employee assistance program
Vehicle discounts
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, improve processes and delivery patterns, and move quickly from ideas to production solutions. At this level, the individual is expected to operate with minimal guidance, resolve non-standard problems using advanced analytical thinking, take ownership of outcomes, and serve as a technical resource for less experienced team members.
The role is anchored in data engineering with a strong focus on automation and Agentic AI. The engineer will build reliable data platforms and use technologies such as Cursor, large language models, Vector Search, Databricks agents, RAG, and similar tools to accelerate engineering delivery and enable intelligent data experiences. The engineer will partner with data scientists and ML engineers as needed to support experimentation and productionize AI solutions, while data engineering and platform delivery remain the primary focus.
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.
•
Transform raw data from multiple source systems into trusted, well-structured data products for analytics, model development, LLM applications, Vector Search, and AI agents.
•
Build automation and reusable engineering workflows using tools such as Cursor, Claude, LLMs, Databricks agents, and related technologies to improve development speed, testing, documentation, troubleshooting, and operational efficiency.
•
Design and enable governed data, retrieval, and semantic patterns for Vector Search, RAG, Databricks agents, Genie, Glean, and other AI-enabled applications.
•
Build and optimize batch and streaming pipelines, including feature-ready, training, inference, and model-scoring data workflows, in partnership with data science teams when needed.
•
Establish practical engineering patterns for CI/CD, automated testing, data quality, lineage, observability, security, cost management, and production support.
•
Solve complex data engineering, performance, reliability, and data-quality problems with strong ownership, urgency, and sound technical judgment.
•
Contribute to technical direction, reusable standards, and delivery practices across teams; influence adoption through working examples and measurable outcomes.
•
Mentor team members through technical guidance, design reviews, knowledge sharing, and strong engineering practices.
Your Skills & Abilities (Required Qualifications)
•
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field, or equivalent experience.
•
5+ years of relevant professional experience
•
Strong experience in data engineering, including pipeline development, data modeling, data integration, distributed processing, and production support for enterprise data platforms.
•
Experience using Python or Scala, SQL, Apache Spark, and modern cloud data platforms; Azure is preferred, and AWS or GCP experience is also considered.
•
Experience designing, building, and optimizing scalable batch and streaming data pipelines using Databricks, Delta Lake, and medallion or comparable lakehouse architecture.
•
Hands-on experience using AI-assisted development or automation tools such as Cursor, Claude, GitHub Copilot, or comparable platforms to improve engineering productivity and delivery.
•
Hands-on experience with LLMs, Vector Search, RAG, Databricks agents, or comparable technologies used to build or enable production AI solutions.
•
Demonstrated ability to work independently, move quickly through ambiguity, influence technical decisions, and deliver measurable improvements in quality, reliability, efficiency, or business value.
What Can Give You a Competitive Advantage (Preferred Qualifications)
•
Experience building or operating Databricks agents, Vector Search solutions, LLM applications, RAG workflows, Genie spaces, Glean integrations, or similar Agentic AI platforms.
•
Experience applying evaluation, monitoring, access controls, guardrails, and governance to AI or agent-enabled solutions.
•
Experience partnering with data scientists or ML engineers on feature engineering, experimentation, model development, model serving, or productionization of AI solutions.
•
Experience with infrastructure as code, APIs, data contracts, platform automation, or reusable engineering libraries and templates.
•
Experience in manufacturing, supply chain, automotive, planning, or another complex operational domain.
•
Demonstrated mentoring, technical leadership, and process improvement impact consistent with a Level 7 senior individual contributor role.
•
Master’s degree in Computer Science, Software Engineering, Data Engineering, or related field.
Benefits
This job may be eligible for relocation benefits.
Compensation:
•
The expected base compensation for this role is: $138,700 - $173,750. 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.
Legal
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.)
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.
Hiring process
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, emailus 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.
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