General Motors is hiring a Senior Data Engineer to join our Intelligent Manufacturing organization. In this senior-level role, you will blend data engineering with modern software engineering practices to design, build, and optimize industrialized data assets and pipelines. Your work will deliver scalable, maintainable solutions that leverage plant floor data to improve manufacturing decisions, maintenance, safety, and operational performance.

What You'll Do

Assemble large, complex data sets that meet functional and non-functional business requirements.
Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability.
Lead and deliver data-driven solutions across multiple languages, tools, and technologies.
Contribute to architecture discussions, solution design, and strategic technology adoption.
Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code.
Design and develop new source system integrations from varied formats (files, database extracts, APIs).
Design and implement solutions for delivering data that meets SLA requirements.
Work with operations teams to resolve production issues related to the platform.
Apply best practices such as Agile methodologies, design thinking, and continuous deployment.
Develop tooling and automation to make deployments and production monitoring more repeatable.
Collaborate with business and technology partners, providing leadership, best practices, and coaching.
Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies.

What We're Looking For

A 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 (ETL frameworks, big data processing, NoSQL).
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), and 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.

Nice to Have

A Master’s degree in Computer Science, Software Engineering, or a related field.
Knowledge of data governance, metadata management, or data quality/observability.
Familiarity with schema design and data contracts.
Experience handling various file formats (video, audio, image).
Experience with Databricks, Snowflake, or similar platforms.

Technical Stack

Languages & Frameworks: Python, Scala, SQL, Spark
Infrastructure & Platforms: Kubernetes, Kafka, Azure, AWS, GCP
Big Data & Storage: Hadoop, Hive, HBase, ADLS, S3, Databricks, Snowflake

Team & Environment

This role is part of the Intelligent Manufacturing organization under Data Engineering Software. You will work in a collaborative, cross-disciplinary environment.

Benefits & Compensation

Compensation range: $134,000 - $219,400
Medical, dental, and vision insurance
Health Savings Account and Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts

Work Mode

This is a hybrid role with locations in Warren, MI and Austin, TX.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. 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.