Staff Data Engineer: Real-Time Telemetry & Cloud Platforms

General Motors (GM); United States; Remote; USD 160,000 - 180,000; Full time

Benefits offered by this job

Health insurance

GM vehicle discounts

Tuition assistance

Relocation benefits

Job summary

General Motors (GM) is seeking a Staff Data Engineer to set technical direction for real-time data platforms and telemetry across motorsports initiatives. You will own architecture, lead cross-functional programs, and mentor engineers while delivering durable data solutions for race-day operations.

You will design scalable ingestion, ensure data quality, observability, and security, and collaborate with data science, platform, and racing stakeholders to drive measurable business outcomes.

Qualifications

• Deep expertise in data engineering and distributed systems.
• Experience designing real-time data ingestion and telemetry architectures.
• Ability to lead multi-team initiatives and mentor engineers.

Responsibilities

• Set technical direction and target-state architecture for cross-system data platforms.
• Lead high-visibility programs spanning multiple teams and technologies.
• Design and operate real-time ingestion, telemetry, and data quality pipelines.
• Establish standards for schemas, observability, security, and deployment.
• Mentor engineers and drive engineering capability across the org.

Skills

Data engineering

Distributed systems

Cloud platforms

Programming (Python/Java/Scala)

Streaming pipelines

Observability

Mentoring

Tools

Databricks

Apache Kafka

Flink

Spark

Kubernetes

AWS

Azure

Job description

General Motors (GM) is seeking a Staff Data Engineer to set technical direction for real-time data platforms and telemetry across motorsports initiatives. You will own architecture, lead cross-functional programs, and mentor engineers while delivering durable data solutions for race-day operations.

You will design scalable ingestion, ensure data quality, observability, and security, and collaborate with data science, platform, and racing stakeholders to drive measurable business outcomes.