Remote Staff Data Engineer — Real-Time Telemetry Architect

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

Benefits offered by this job

Health benefits

GM vehicle discounts

Paid vacation & holidays

Job summary

General Motors is seeking a Staff Data Engineer to set technical direction for Motorsports data initiatives. You will lead architecture for real-time ingestion, telemetry, and data platforms while mentoring engineers and collaborating with data science, platform, and racing stakeholders.

The role requires deep expertise in data engineering, distributed systems, cloud platforms, and production software development, with strong Python/Java/Scala skills and a track record of delivering cross-team

Qualifications

• Deep expertise in data engineering and distributed systems.
• Strong programming experience in Python, Java, or Scala.
• Experience designing real-time streaming and batch pipelines at scale.
• Knowledge of data modeling, schema evolution, observability, and data quality.
• Ability to work independently on ambiguous problems and influence stakeholders.

Responsibilities

• Set technical direction and target-state architecture for cross-system data platforms.
• Lead high-visibility initiatives with multiple teams and stakeholders.
• Design scalable real-time ingestion, telemetry, and data quality solutions.
• Own measurable outcomes like reliability, throughput, and recovery (SLOs/SLAs).
• Mentor engineers and drive engineering best practices across the organization.

Skills

Python

Java

Scala

Distributed systems

Cloud platforms

Data modeling

Mentoring

Communication

Tools

Databricks

Apache Kafka

Flink

Spark

Kubernetes

AWS

Azure

Job description

General Motors is seeking a Staff Data Engineer to set technical direction for Motorsports data initiatives. You will lead architecture for real-time ingestion, telemetry, and data platforms while mentoring engineers and collaborating with data science, platform, and racing stakeholders.

The role requires deep expertise in data engineering, distributed systems, cloud platforms, and production software development, with strong Python/Java/Scala skills and a track record of delivering cross-team