Job Description
We are seeking a Senior Data Engineer to join our Motorsports Data Engineering team , building next-generation data platforms that power high-performance racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond.
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.
This is a hands-on engineering role requiring deep technical expertise, architectural thinking, and a strong sense of ownership.
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.
Develop your skills by working 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 their domain, focused on software quality and maintainability.
Provide guidance and mentoring of fellow software developers.
Performance tuning, usability assessment, performance improvement, documentation, and ensuring 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 like Kafka, Event Hubs , or Confluent.
Experience with AWS and/or Azure cloud infrastructure.
Experience deploying, maintaining, supporting containerized applications using technologies like Docker/Kubernetes.
Experience with SQL and NoSQL database technologies like Postgres, Mongo DB and Redis.
Experience writing maintainable, testable, and reusable code.
Experience with Agile development methodologies.
Strong background in software development lifecycle.
Experience with networking and client-server communication (REST, web sockets, gRPC , server-sent events).
Delivering highly scalable, web-based systems, that can support high transaction volumes.
Bachelor's degree in computer science or similar 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.


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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits.


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