Staff Data Engineer: Real-Time Motorsports (Remote)

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

Benefits offered by this job

Remote work option

Relocation benefits

Job summary

General Motors is seeking a Staff Data Engineer to set technical direction for complex motorsports data initiatives. This expert individual contributor will lead architecture for real-time ingestion, telemetry, data quality, and cloud platforms, while mentoring engineers and collaborating with stakeholders to deliver durable business outcomes.

The role emphasizes independent judgment, measurable outcomes, and scalable data solutions across teams.

Qualifications

• Deep expertise in data engineering, distributed systems, cloud platforms, and production software development.
• Demonstrated experience setting technical direction and delivering complex solutions spanning multiple teams or functional areas.
• Strong programming experience in Python, Java, Scala, or a comparable language.
• Experience designing and operating streaming and batch data pipelines at production scale.
• Strong knowledge of data modeling, schema evolution, data quality, observability, testing, deployment, and incident response.
• Demonstrated ability to work independently on ambiguous problems and make decisions with broad business and technical implications.
• Experience influencing stakeholders and gaining adoption of new architectures, processes, or technical practices without relying on direct authority.
• Strong communication, collaboration, technical writing, and mentoring skills.

Responsibilities

• Set technical direction and develop target-state architecture for complex, cross-system data platforms and products.
• Lead large, high-visibility initiatives that integrate multiple teams, disciplines, technologies, and stakeholder needs.
• Design and implement innovative, scalable solutions for real-time ingestion, telemetry, event and session data, data quality, and analytical products.
• Exercise independent judgment to analyze complex problems, select appropriate methods, evaluate tradeoffs, and make durable technical decisions.
• Establish and own measurable technical and operational outcomes, including reliability, data quality, throughput, cycle time, recovery, and service-level performance.
• Develop standards, policies, methods, and reusable patterns for schemas, data contracts, observability, testing, deployment, security, and recovery.
• Lead technical planning, dependency management, risk identification, and sequencing for roadmap and race-critical work.
• Anticipate and elevate risks that could affect customers, race operations, delivery commitments, or functional outcomes, while providing actionable recommendations.
• Improve operational reliability through incident leadership, root-cause analysis, automation, runbooks, and permanent corrective actions.
• Influence adoption of new approaches through data, clear communication, persuasion, and collaboration across teams with differing priorities or practices.
• Serve as a technical resource and indirect leader by mentoring engineers, guiding design reviews, and raising engineering capability across the organization.
• Partner with stakeholders to understand customer and business needs and translate them into scalable data solutions.
• Champion change management and continuously improve engineering processes, tools, and ways of working.

Skills

Data engineering

Distributed systems

Cloud platforms

Python/Java/Scala

Production software development

Tools

Databricks

Apache Kafka

Flink

Spark

Kubernetes

AWS

Azure

Job description

General Motors is seeking a Staff Data Engineer to set technical direction for complex motorsports data initiatives. This expert individual contributor will lead architecture for real-time ingestion, telemetry, data quality, and cloud platforms, while mentoring engineers and collaborating with stakeholders to deliver durable business outcomes.

The role emphasizes independent judgment, measurable outcomes, and scalable data solutions across teams.