Senior Data Engineer - GM Motorsports

Job Description

We are seeking a Senior Data Engineer to join our Motorsports Data Engineering team
. This role is responsible for designing, building, and operating scalable, real‑time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform. You will work at the intersection of cloud architecture, streaming systems, and performance analytics, enabling engineers, strategists, and race teams to make faster, data‑driven decisions.

As a senior member of the team, you will own critical components of our Kafka/Flink streaming architecture, Databricks lakehouse implementations, and infrastructure‑as‑code deployments. You will collaborate cross‑functionally with race engineering, software development, operations, and external technical partners to ensure resilient, secure, and high‑performance data delivery across environments.

• Develop data pipelines using Python, Java, and SQL among other tools and technologies.
• Update existing software and/or develop new software solutions to address a specific need or solve a particular business problem.
• Contribute to development in accordance with appropriate methodologies and application of a repeatable, systematic, and quantifiable approach.
• Identify and remediate software issues related to code quality, security, patterns, frameworks, software usability, or end user related issues.
• Collaborate closely with peers to ensure code alignment with design patterns and frameworks.
• Integrate with other applications and systems.
• Automate unit and end‑to‑end testing of software systems within your domain, focused on software quality and maintainability.
• Provide guidance and mentoring of fellow software developers.
• Perform performance tuning, usability assessment, performance improvement, documentation, and ensure high technical standards are met.
• Proficiency in build/release automation solutions.

• Minimum 5 years of professional software development experience.
• Proficient in Python and/or Java
  .
• Experience with event streaming/message broker technologies such as Kafka
  , Event Hubs
  , or Confluent
  .
• Experience with AWS and/or Azure cloud infrastructure.
• Experience deploying, maintaining, and supporting containerized applications using technologies like Docker and Kubernetes
  .
• Experience with SQL and No
  
  SQL database technologies such as Postgres
  , MongoDB
  , and Redis
  .
• Experience writing maintainable, testable, and reusable code.
• Experience with Agile development methodologies.
• Strong background in the software development lifecycle.
• Experience with networking and client‑server communication (REST, Web Sockets, gRPC, server‑sent events).
• Experience delivering highly scalable, web‑based systems that can support high transaction volumes.

• Bachelor's degree in computer science or a related discipline.
• Self‑starter and quick learner who understands and can adapt to existing software applications.
• Previous IT experience within motorsports.
• Experience working with streaming telemetry or timing‑based metrics.

Immigration Sponsorship

GM does not provide immigration-related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future.

Hybrid Work Arrangement

This role is categorized as hybrid. The selected candidate is expected to report to a specific location at least 3 times a week, or as directed by their manager. This job may be eligible for relocation benefits.

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.

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