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The Role

The Staff Data Engineer is an expert-level individual contributor who sets technical direction for complex Motorsports data engineering initiatives. This role works independently with broad latitude, applies deep expertise and sound judgment to ambiguous problems, and delivers solutions with measurable impact across teams and functional areas.

The role will lead architecture and engineering practices for real-time data ingestion, telemetry, data quality, cloud platforms, and race-day operational systems. The Staff Data Engineer will influence technical decisions across the organization, mentor engineers, and partner with engineering, data science, platform, product, and racing stakeholders to deliver durable business outcomes.

What You’ll Do

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 escalate 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.

Your Skills & Abilities (Required 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.

What Will Give You a Competitive Edge (Preferred Qualifications)

Experience with Databricks, Apache Kafka, Flink, Spark, Kubernetes, AWS, Azure, or comparable technologies.
Experience with real-time telemetry, event processing, time-series data, or latency-sensitive production workloads.
Experience supporting systems during high-availability or time-critical operating periods.
Experience with data science, machine learning, analytics, or engineering strategy teams.
Experience establishing engineering standards, technical communities of practice, or cross-functional architecture forums.
Interest in motorsports, vehicle systems, race strategy, or performance engineering.

This role is expected to operate as a recognized subject-matter expert, develop solutions to broad and complex problems, lead initiatives with cross-functional visibility, and make measurable contributions to functional outcomes. The role will set objectives for technical and operational results, influence decisions across organizational boundaries, and multiply impact through mentoring, reusable practices, and effective collaboration.

GM behaviors

The Staff Data Engineer is expected to demonstrate GM behaviors by:

Winning with integrity through candid, transparent, respectful, and safe decisions.
Committing to customers by understanding stakeholder needs and delivering high-quality outcomes.
Innovating and embracing change through experimentation, learning, and continuous improvement.
Speaking fearlessly by raising risks, challenging assumptions respectfully, and offering actionable solutions.
Moving with urgency by focusing on high-impact work, anticipating obstacles, and flagging delays early.
Being inclusive by inviting diverse perspectives and creating space for open dialogue.
Leading as one team by providing context, clarifying ownership, and aligning cross-functional partners.
Owning the outcome by following through on commitments, addressing gaps, and considering enterprise impact.

Success measures

Measurable improvement in reliability, observability, data quality, and recovery readiness for critical data products.
More predictable delivery through improved architecture, dependency management, sequencing, and flow metrics.
Reduced aging, carryover, rework, and recurring operational toil.
Documented adoption of reusable data engineering standards and target-state architecture.
Stronger engineering capability through mentoring, design reviews, and knowledge sharing.
Demonstrated impact on Motorsports functional outcomes and race-day readiness.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

• The salary range for this role is 160K -180K. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

이 직무는 재택 직무로 분류됩니다. 즉, 선발된 지원자는 근무 국가 어디에서든 근무할 수 있으며, 관리자의 지시가 없는 한 GM 사업장에 출근하지 않아도 됩니다.

Relocation 지원 혜택은 회사 정책에 따라 자격이 되는 지원자에게 제공됩니다.

다양성 정보

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공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.

Staff Data Engineer - GM Motorsports

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