Senior Data Engineer - GPSC Insights Engineering
General MotorsAustin, Texas, United States
Posted November 14, 2025
134000 - 219400 USD
Full Time
About the Company
General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow. For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html
Job Description
Join our GPSC Insight Engineering team as a Senior Data Engineer to design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
- 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage
- 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes)
- Proficiency in data streaming in Kubernetes and Kafka
- Experience with cloud platforms – Azure preferred; AWS or GCP also considered.
- Solid understanding of CI/CD principles and tools
- Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues.
- Strong understanding of performance optimization techniques such as partitioning, clustering, and caching
- Proficiency with SQL, key-value datastores, and document stores
- Familiarity with data architecture and modeling concepts to support efficient data consumption
- Strong collaboration and communication skills; ability to work across multiple teams and disciplines.
Benefits
- 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.