General Motors

Systems Engineer - Data and Insights

General Motors • $95K — $115K *
Austin, TX 78745In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science, Software Engineering, or related field, or equivalent experience.
  • 2-5 years systems engineering experience delivering data-intensive and analytics-focused solutions.
  • Proficiency in SQL, Python/PySpark, and cloud data platforms such as Databricks.
  • Experience with complex SQL queries and performance tuning against large datasets.
  • Hands-on experience building or configuring AI agents using platforms like Glean or Genie.

Responsibilities

  • Design and maintain data-driven and AI-enabled solutions for Finance and Legal teams.
  • Develop high-quality SQL and PySpark code in Databricks for data transformation and analytics.
  • Build and optimize Databricks data pipelines for scalable batch and real-time processing.
  • Collaborate with data science teams to integrate AI/ML solutions into production.
  • Create agents and automated workflows with Glean and Genie for operational transformation.
  • Identify and fix issues related to data patterns, performance, and security.
  • Lead solution design aligned with GM technical standards.

Benefits

  • Hybrid work model requiring at least 3 days in the office.
  • Potential eligibility for relocation benefits.
Full Job Description
Job Description
The Role

The Finance Data and Insights team in the Business Applications (Finance, Legal & SAP Engineering - FLSE) organization 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 be responsible for developing data intensive and AI-enabled data solutions and tools that support the Finance team. You will work with complex data requirements and deliver solutions using industry standard practices across SQL, Databricks and Python. You will design and build software and data solutions based on detailed requirements and system specifications, with a strong focus on data quality, performance, and reliability.

You will help define patterns and best practices for SQL, Databricks (DBX), and AI/ML integrations within Business Applications and play a key role in ongoing modernization and cloud initiatives. You will also develop agents and solutions using Glean and Genie, driving transformation in ways of working through agents and automated workflows.

What You'll Do
  • 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.


Your Skills & Abilities (Required Qualifications)
  • 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 complexSQL 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 (e.g., SKILL.md, rules.md) 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.


What Will Give You A Competitive Edge (Preferred Qualifications)
  • Experience delivering enterprise-grade or global, scalable data-intensive or analytics-focused solutions and platforms.
  • Deep hands-on experience with Databricks (Delta tables, notebooks, jobs, workflows) and/or Spark for data engineering, analytics, or AI workloads.
  • Knowledge of relational and dimensional data modeling, data quality practices, metadata management, and data governance in an enterprise environment.
  • Demonstrated experience designing and implementing agent and skill ecosystems, including:
    • Defining and maintaining SKILL.md-style definitions and associated Markdown assets.
    • Wiring agents to MCP servers and external tools in a secure, governed way.
    • Applying version control, testing, and rollout patterns to agents and skills.
  • Demonstrated ability to influence technical direction, establish reusable patterns and standards, and mentor less experienced engineers.
  • Ability to manage multiple initiatives and priorities in a fast-paced environment while maintaining high engineering standards.
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.

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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