Staff Data Engineer

🔥 10 minutes ago

🇺🇸 United States – Remote

💵 $160k - $180k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚘 Automotive

🏭 Manufacturing

🚗 Transport

💰 $500M Grant on 2024-07

Automotive • Manufacturing • Transport

General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.

📋 Description

• Set technical direction and develop target-state architecture for complex, cross-system data platforms and products • Lead large, high-visibility initiatives integrating multiple teams, disciplines, technologies, and stakeholder needs • Design and implement scalable solutions for real-time ingestion, telemetry, event and session data, data quality, and analytical products • 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 affecting customers, race operations, delivery commitments, or functional outcomes • Improve operational reliability through incident leadership, root-cause analysis, automation, runbooks, and permanent corrective actions • Influence adoption of new approaches through data, communication, persuasion, and cross-team collaboration • Mentor engineers, guide design reviews, and raise 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 • Deliver measurable improvements in reliability, observability, data quality, recovery readiness, architecture, delivery predictability, and race-day readiness

🎯 Requirements

• 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 • 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 • Must not require GM immigration sponsorship now or in the future • Applicants may be required to successfully complete role-related assessments and/or pre-employment screening

🏖️ Benefits

• Bonus potential through an incentive pay program based on company performance, job level, and individual performance • Medical insurance • Dental insurance • Vision insurance • Health Savings Account • Flexible Spending Accounts • Retirement savings plan • Sickness and accident benefits • Life insurance • Paid vacation and holidays • Tuition assistance programs • Employee assistance program • GM vehicle discounts • Relocation benefits for candidates who qualify under company policy