Staff Data Engineer – Intelligent Manufacturing at General Motors

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, ManufacturingIndustries

Requirements

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

Responsibilities

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

Skills

Data Pipelines

Databases

Streaming Technology

CI/CD

Cloud Platforms

Software Engineering

Design Patterns

Testing

Business Intelligence

Advanced Analytics

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees