Senior Data Engineer: Real-Time Racing Data Platform

General Motors; Austin (TX); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Relocation benefits

Job summary

General Motors seeks a Senior Data Engineer to join the Motorsports Data Engineering team, building scalable data platforms for high-performance racing programs. You will own real-time and batch pipelines ingesting telemetry, wind tunnel, and trackside data into our enterprise lakehouse, collaborating across teams to ensure high-performance delivery.

This hands-on role requires deep technical expertise, architectural thinking, and ownership.

Qualifications

• 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.

Responsibilities

• 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 andmentoring of fellow software developers.
• Performance tuning, usability assessment, performance improvement, documentation, and ensuring high technical standards are met.
• Proficiency in build/release automation solutions.

Skills

5+ years

Python

Java

Event streaming

AWS/Azure

SQL

NoSQL

Agile

SDLC

REST/gRPC

Testing

Mentoring

Performance tuning

Education

Bachelor's degree in CS or similar

Tools

Kafka

Flink

Databricks

Docker/Kubernetes

Job description

General Motors seeks a Senior Data Engineer to join the Motorsports Data Engineering team, building scalable data platforms for high-performance racing programs. You will own real-time and batch pipelines ingesting telemetry, wind tunnel, and trackside data into our enterprise lakehouse, collaborating across teams to ensure high-performance delivery.

This hands-on role requires deep technical expertise, architectural thinking, and ownership.