> Markdown version of [/jobs/ext/2038131-senior-data-engineer-vehicle-telematics-platform](https://www.wearedevelopers.com/jobs/ext/2038131-senior-data-engineer-vehicle-telematics-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Senior Data Engineer - Vehicle Telematics Platform

- **Company:** General Motors
- **Location:** Warren, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Systems, Distributed Computing Environment, Distributed Data Store, Python (Programming Language), Operational Databases, Performance Tuning, Standard Sql, Software Engineering, Data Streaming, Azure Service Bus, Apache Spark, Software Troubleshooting, Infrastructure Automation Frameworks, Information Technology, Apache Kafka, Databricks
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-engineer-vehicle-telematics-platform-warren-mi-usa-58918093

## About the Role

and resilient, cost-efficient data systems * Build tooling and frameworks to simplify data asset development and deployment * Troubleshoot performance bottlenecks and optimize distributed workloads * Improve platform reliability via CI/CD, Infrastructure as Code, and best practices * Collaborate with product, analytics, AI, and engineering teams to deliver trusted telemetry data * Mentor and elevate engineering practices across teams Tasks * Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related field * 5+ years in large-scale data platforms or distributed data engineering * Hands-on Spark experience and distributed data processing * Python or Scala proficiency * Expert-level SQL * Experience with Databricks or similar platforms * Cloud experience (Azure, AWS, or GCP) * Streaming tech experience (Event Hubs, Kafka, Pulsar) * Production data pipelines engineering and observability capabilities * Data quality controls, validation, and reliability aaaaa
Data * Performance, scalability, and cost optimization of distributed workloads * CI/CD, Infrastructure as Code, and automation practices * Strong troubleshooting, communication, and problem-solving skills Key requirements * health and wellbeing benefit programs * retirement savings plan * tuition assistance programs * paid vacation & holidays * GM vehicle discounts * life insurance

## Description

Experteer Overview In this Senior Data Engineer role, you will build, scale, and operate the telemetry data platform that powers connected vehicle analytics and software-defined vehicle innovation at global scale. You'll work within a data platform focus, delivering reliable pipelines, data products, and observability for enterprise telemetry data. You'll partner with product, analytics, and engineering teams to enable AI, quality engineering, and operational decision-making. The position emphasizes platform reliability, automation, and cost-efficient scalability, with a strong impact on vehicle data-driven initiatives. Compensation / Benefits * Build and operate the telemetry data platform at global scale * Develop batch and streaming data pipelines using Databricks, Spark, Event Hubs, and cloud-native tech * Create production-grade data products supporting analytics, AI, and engineering * Implement data quality, validation, monitoring, and observability capabilities * Design scalable, resilient, cost-efficient data systems * Build tooling and frameworks to simplify data asset development and deployment * Troubleshoot performance bottlenecks and optimize distributed workloads * Improve platform reliability via CI/CD, Infrastructure as Code, and best practices * Collaborate with product, analytics, AI, and engineering teams to deliver trusted telemetry data * Mentor and elevate engineering practices across teams Tasks * Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related field * 5+ years in large-scale data platforms or distributed data engineering * Hands-on Spark experience and distributed data processing * Python or Scala proficiency * Expert-level SQL * Experience with Databricks or similar platforms * Cloud experience (Azure, AWS, or GCP) * Streaming tech experience (Event Hubs, Kafka, Pulsar) * Production data pipelines engineering and observability capabilities * Data quality controls, validation, and reliability standards * Performance, scalability, and cost optimization of distributed workloads * CI/CD, Infrastructure as Code, and automation practices * Strong troubleshooting, communication, and problem-solving skills Key requirements * health and wellbeing benefit programs * retirement savings plan * tuition assistance programs * paid vacation & holidays * GM vehicle discounts * life insurance


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