Staff Data Engineer — Real-Time Telemetry & Data Platforms

General Motors Corporation; United States; Remote; USD 160,000 - 180,000; Full time

Benefits offered by this job

Health and wellbeing benefits

GM vehicle discounts

Relocation benefits available

Job summary

General Motors Corporation is seeking a Staff Data Engineer to set technical direction for Motorsports data initiatives. You will lead architecture for real-time ingestion, telemetry, data quality, and cloud platforms, mentoring engineers and coordinating across racing stakeholders.

The role emphasizes independent judgment, cross-team collaboration, and delivering durable business outcomes with measurable impact on race-day readiness and operations.

Qualifications

• Deep expertise in data engineering and distributed systems.
• Strong programming experience in Python, Java, or Scala.
• Experience designing and operating streaming and batch data pipelines at production scale.
• Ability to set technical direction and lead multi-team initiatives.
• Knowledge of data modeling, data quality, observability, testing, deployment, and incident response.

Responsibilities

• Set technical direction and target-state architecture for cross-system data platforms and products.
• Lead large, high-visibility initiatives integrating multiple teams and stakeholders.
• Design and implement real-time ingestion, telemetry, event and session data, data quality, and analytics.
• Own measurable technical and operational outcomes (reliability, quality, throughput, cycle time).
• Mentor engineers, review designs, and raise engineering capability across the organization.
• Translate customer and business needs into scalable data solutions.

Skills

Data engineering

Distributed systems

Cloud platforms

Production software

Python

Java

Scala

Streaming pipelines

Tools

Databricks

Apache Kafka

Flink

Spark

Kubernetes

AWS

Azure

Job description

General Motors Corporation is seeking a Staff Data Engineer to set technical direction for Motorsports data initiatives. You will lead architecture for real-time ingestion, telemetry, data quality, and cloud platforms, mentoring engineers and coordinating across racing stakeholders.

The role emphasizes independent judgment, cross-team collaboration, and delivering durable business outcomes with measurable impact on race-day readiness and operations.