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About the Role

The Finance Data and Insights team is responsible for empowering Finance and Legal teams by delivering reliable and secure AI-driven tools that streamline workflows, accelerate decision making, surface actionable insights, and unlock measurable productivity gains across the product lifecycle. As a Systems Engineer, you will develop data intensive and AI-enabled data solutions and tools supporting the Finance team, working with complex data requirements and delivering solutions using industry standard practices across SQL, Databricks and Python. You will design and build software and data solutions with a strong focus on data quality, performance, and reliability, and play a key role in ongoing modernization and cloud initiatives.

Responsibilities

Design, develop, and maintain data-driven and AI-enabled data solutions and services that support Finance and Legal teams.
Develop high-quality, performant SQL and PySpark code in Databricks for complex data transformations and analytical data modeling.
Design, build, and optimize Databricks (DBX) data pipelines and workflows to support scalable batch and near real-time data processing.
Partner with data science and AI teams to productionize AI/ML and LLM-based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement.
Develop agents and automated workflows using Glean and Genie to transform Finance and Legal ways of working.
Proactively identify and remediate issues related to patterns, performance, security, and data correctness.
Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction.
Troubleshoot and resolve production issues across the full stack (data, application, infrastructure), driving root cause analysis, stable fixes, and clear documentation.
Document software and data solutions and ensure technical documentation meets GM standards and can be leveraged across FLSE and related business systems.

Requirements

Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience.
2–5 years of systems engineering experience delivering data-intensive and analytics-focused solutions, with proven technical and professional skills in SQL, Python/PySpark, and cloud data platforms such as Databricks.
Experience working with complex SQL queries and user-defined functions in Databricks, including performance tuning and optimization against large datasets.
Hands-on experience with AI agents and/or skills, such as building or configuring agents in platforms like Glean, Genie, or IDE-based agents; and/or authoring Markdown-based skill/rule files that guide AI behavior.
Familiarity with Model Context Protocol (MCP) or similar patterns for connecting agents to tools, APIs, and data sources, with a strong interest in deepening expertise in this area.
Comfort working with Markdown for technical documentation, skill definitions, and agent specifications.
Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high-quality solutions.
Excellent written and verbal communication skills with the ability to collaborate with both technical and non-technical stakeholders.
Demonstrated ownership mindset, accountability for quality, and focus on delivering measurable value to internal customers.

Skills

SQL
Databricks
Python
PySpark
AI agents
Glean
Genie
Markdown
Model Context Protocol (MCP)

Location

Hybrid

Work Type

Hybrid

Experience Level

2-5 years

Education Level

Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience.

Benefits

Relocation benefits may be available.
GM supports a rewarding career that rewards you personally.

About the Company

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.
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.

Equal Opportunity

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
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.
General Motors offers opportunities to all job seekers including individuals with disabilities.