General Motors
Systems Engineer - Data and Insights
Warren, Michigan, United States of America +1 · Hybrid · Full-time · Posted Aug 5, 2026
- Location
- Warren, Michigan, United States of America
Austin, Texas, United States of America - Experience
- 2–5 years of systems engineering experience.
- Education
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent experience.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants who need sponsorship now or in the future should not apply.
About the job
Develops and maintains data-intensive and AI-enabled solutions, pipelines, and agents that support Finance and Legal teams.
What you'll do
- Build and optimize SQL and PySpark transformations, data models, Databricks pipelines, and workflows.
- Partner with AI teams to productionize AI/ML and LLM solutions, and develop agents and automated workflows using Glean and Genie.
- Guide solution design and engineering practices, and troubleshoot production issues across data, applications, and infrastructure.
What they ask for
- Bachelor’s degree in a related field or equivalent experience.
- 2–5 years of systems engineering experience delivering data-intensive and analytics-focused solutions.
- Proficiency in SQL, Python/PySpark, and cloud data platforms such as Databricks, including complex queries, user-defined functions, and performance optimization.
- Hands-on experience with AI agents or agent skills; familiarity with Model Context Protocol (MCP) or similar patterns; comfort with Markdown documentation.
Nice to have
- Experience with enterprise-scale data platforms; hands-on Databricks or Spark experience.
- Knowledge of data modeling, data quality, metadata management, governance, or agent ecosystems.
Tools
SQL, Python/PySpark, Databricks, Glean, Genie, Model Context Protocol (MCP), Markdown, Spark
AI focus
Productionize AI/ML and LLM solutions, including feature pipelines, inference integrations, and monitoring; develop agents and automated workflows using Glean and Genie.
Model-written summary · the original posting is authoritative