Staff Data Engineer, Commercial Software

Job Description

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View three times per week, at minimum.

The Role

The Commercial Software division at GM is seeking talented individuals across various software engineering roles to join us. Our mission? Driving forward all digital solutions for commercial fleet owners and drivers, catering to businesses of all sizes, from small and medium businesses to large enterprises.

In today's dynamic landscape, the demand for intelligent, safe, and eco-friendly transportation solutions is skyrocketing. GM is at the forefront of this transformative journey, championing connected software-defined vehicles that redefine the driving experience. At the heart of this paradigm shift lies software – enabling seamless communication, bolstering security, facilitating updates, processing data, and ultimately, delivering an unparalleled user experience.

To realize our vision, we're actively expanding our software teams in the Bay Area. We seek individuals who can blend a passion for technology and sustainability with curiosity, rigorous thinking and a strong customer centric approach. This is an exceptional opportunity where you can leverage the scale of GM and make a significant impact and find fulfillment in crafting innovative software solutions. We invite you to join us on this exciting journey toward a better future.

What You'll Do

As a Staff Data Engineer, you will be responsible for designing, developing, and maintaining efficient data workflows and associated cloud infrastructure that support GM Commercial Software’s core analytic products and services. A key focus of this role will be on developing and optimizing streaming data pipelines, ideally utilizing Spark or similar technologies. You will work closely with our data scientists, DevOps, and software engineers to automate pipelines that process streaming vehicle telemetry data, ensuring real-time data processing and transformation. Additionally, you will transform data within our data lakehouse into deployable data models that power our automated fleet insights, visualizations, and emerging machine learning, optimization, and AI applications.

Your Skills & Abilities (Required Qualifications)

• Bachelor's Degree or equivalent experience in computer science, data science, engineering, or related quantitative field
• 7+ years of industry experience developing, implementing, and maintaining solutions for Big Data or data warehousing systems
• 5+ years of industry experience working in a cloud environment (Azure preferred)
• 5+ years' experience working with SQL query authoring for automated data transformation (familiarity with dbt preferred, but not required)
• 3+ years of experience developing streaming data processing pipelines (use of Spark/pySpark preferred)
• Basic understanding of machine learning/statistical learning principles
• Experience implementing and maintaining data workflow orchestration and integration tools (e.g. Airflow/Astro, Prefect, dbt cloud, etc.)
• Understanding of and experience with application of data quality tools integrated with CI/CD automation frameworks in functional deployment environments (e.g., Github Actions/Azure DevOps pipelines)
• Familiarity with data quality testing frameworks (Great Expectations, Deequ)
• Self-driven with an interest in on-the-job learning.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Master's Degree in computer science, data science, engineering, or related quantitative field
• Familiarity with enterprise warehouse data modeling techniques (e.g., Kimball)
• Experience integrating simulation systems with distributed, data-intensive processing or analytics applications
• Working familiarity with terraform
• Domain knowledge in automotive systems
• Engagement with modern data stack community (open source and commercial)
• High degree of attention to software craftsmanship and professionalism
• Experience working with containerization technologies and orchestration platforms (specifically Docker and Kubernetes)

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $186,200.00 - 285,300.00. The actual base salary a successful candidate will be offered within this 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.

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 aspire to be the most inclusive company in the world. 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.