Senior Data Engineer - GM Motorsports

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Posted
76 days ago

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Salary context

How this pay compares to similar roles

Similar $185k
$138k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $147,162–$222,000.

Based on 240 similar postings.

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About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 126 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer - GM Motorsports

We are seeking a Senior Data Engineer to join our Motorsports Data Engineering team, responsible for designing and building scalable data pipelines that ingest high-frequency telemetry and simulation data into our enterprise data platform. This hands-on role involves developing data pipelines using Python, Java, and SQL while collaborating with cross-functional teams to ensure secure and high-performance data delivery across environments. You will work on Kafka/Flink streaming architecture, Databricks lakehouse implementations, and infrastructure-as-code deployments, requiring proficiency in AWS or Azure cloud infrastructure, Docker/Kubernetes, and experience with event streaming technologies like Kafka. The role demands expertise in SQL and NoSQL databases, Agile methodologies, and a strong background in software development lifecycle, particularly within the motorsports domain.

What you'll do

  • Design and build scalable data pipelines using Python, Java, and SQL.
  • Develop and maintain Kafka/Flink streaming architecture for real-time data processing.
  • Implement Databricks lakehouse solutions to store and analyze large datasets efficiently.
  • Automate unit and end-to-end testing of software systems to ensure quality and reliability.
  • Provide technical guidance and mentorship to fellow developers on best practices.
  • Collaborate with cross-functional teams to integrate data pipelines with other applications.

What we're looking for

  • Minimum 5 years of professional software development experience.
  • Proficient in Python and/or Java, with strong SQL skills.
  • Experience with Kafka/Flink and other event streaming technologies.
  • Knowledge of AWS or Azure cloud infrastructure and Docker/Kubernetes.
  • Background in Agile development methodologies and software lifecycle.
  • Expertise in REST, web sockets, gRPC, and server-sent events.
  • Previous IT experience within motorsports is preferred.

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