Staff Data Engineer - Intelligent Manufacturing

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI or Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

The Intelligent Manufacturing teams are responsible for ideating, incubating, and delivering new plant data solutions for General Motors Manufacturing and our partners. We integrate with business and IT teams to develop real-time solutions that leverage plant floor data to improve decisions, plant asset maintenance, safety, and operational performance, as well as Vehicle Build Data.

As a senior level Data Engineer, you will design and build industrialized data assets and pipelines to support Business Intelligence and Advanced Analytics objectives. In this senior-level technical leadership role, you'll bring a passion for quality, efficiency, and reliability, along with proven experience leading complex data engineering initiatives from concept to production. You will work in a highly collaborative environment across databases, streaming technology, CI/CD, cloud platforms, and modern data engineering tools-to create large, complex data sets that meet both functional and non-functional business requirements.

Beyond strong data engineering skills, you should have a solid foundation in modern software engineering principles-including code quality, design patterns, testing, and CI/CD-to deliver robust, maintainable, and production-ready systems. The ideal candidate combines a data-driven mindset with a strong understanding of business priorities, demonstrating creativity, sound decision-making, and the ability to influence and collaborate across teams.

What You'll Do

• Provide technical leadership for complex data engineering initiatives from concept through production, ensuring solutions are high-quality, efficient, and reliable.
• Assemble large, complex data sets that meet both functional and non-functional business requirements.
• Identify, design, and implement process improvements, including automation, data delivery optimization, and redesign for greater scalability.
• Architect, build, and optimize highly scalable data pipelines that incorporate complex transformations and efficient, maintainable code.
• Design and develop new source system integrations from a variety of formats including files, database extracts, and APIs.
• Lead and deliver data-driven solutions across multiple languages, tools, and technologies, contributing to architecture discussions, solution design, and strategic technology adoption.
• Develop solutions for delivering data that consistently meets SLA requirements and supports operational excellence.
• Partner closely with operations teams to troubleshoot and resolve production issues, ensuring platform stability.
• Drive engineering excellence by applying Agile methodologies, design thinking, continuous deployment, CI/CD best practices, and performance tuning strategies.
• Build tooling and automation to make deployments, production monitoring, and operational support more repeatable and efficient.
• Collaborate with business and technology partners, providing strategic guidance, leadership, and coaching to influence outcomes and align with enterprise goals.
• Actively mentor peers and junior engineers, fostering a culture of learning, innovation, and continuous improvement, while educating colleagues on emerging industry trends and technologies.
• Represent the team in executive-level forums to communicate status, risks, opportunities, and the strategic value of data engineering initiatives.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 10+ years of experience in data engineering, including Python or Scala, SQL, and relational/non-relational storage (ETL frameworks, big data processing, NoSQL)
• 5+ years of experience in distributed, petabyte-scale data processing with Spark and container orchestration (Kubernetes)
• Hands-on experience with real-time data streaming in Kubernetes and Kafka
• Expertise in performance tuning (partitioning, clustering, caching, serialization techniques)
• Proficiency with SQL, key-value datastores, and document stores
• Strong CI/CD expertise and best practices
• Background in data architecture and modeling for optimized consumption patterns
• Proven experience developing data models and schemas for efficient storage, retrieval, and analytics, with query performance optimization
• Cloud experience with at least one major platform (Azure preferred; AWS or Google Cloud Platform acceptable)
• Strong teamwork and leadership skills to collaborate and influence across product, program, and engineering teams
• Commitment to ensuring data security, privacy, and regulatory compliance

Additional Job Description

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Master's degree in Computer Science, Software Engineering, or related field
• Background in data governance, metadata management, and/or data quality/observability
• Knowledge of schema design and data contracts
• Experience processing and storing media file formats (video, audio, image)
• Experience with tools such as Databricks or Snowflake

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Compensation:

• The expected base compensation for this role is: $165,000 - $270,900. 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.

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.)

#LI-CC1

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.

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, email us or call us at . 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.