Senior Data Engineer, Vehicle Telemetry Platform & AI

General Motors; Warren (MI); Hybrid; USD 129,000 - 169,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Retirement plan

GM vehicle discounts

Tuition assistance

Employee assistance program

Paid vacation & holidays

Job summary

General Motors is seeking a Senior Data Engineer to design and operate a world-class telemetry data platform at scale. You’ll help turn billions of vehicle events into trusted data assets used across analytics, AI, and product engineering.

The role focuses on building pipelines, observability, and reliable data products. It requires hands-on Spark/Databricks expertise, cloud-native solutions, and a strong commitment to data quality and scalability.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.
• 5+ years of experience building large-scale data platforms, distributed systems, or data engineering solutions.
• Strong hands-on experience with Spark and distributed data processing.
• Strong programming skills in Python or Scala.
• Expert-level SQL skills.
• Experience with Databricks or similar large-scale analytical platforms.
• Experience building cloud-native solutions in Azure, AWS, or GCP.
• Experience with streaming technologies such as Event Hubs, Kafka, Pulsar, or similar platforms.
• Experience building and operating highly reliable production data pipelines.
• Experience implementing observability, monitoring, alerting, and operational support capabilities.
• Experience designing and enforcing data quality controls, validation frameworks, and reliability standards.
• Experience optimizing distributed workloads for performance, scalability, and cost efficiency.
• Experience with CI/CD, Infrastructure as Code, and automation practices.
• Strong troubleshooting, communication, and problem-solving skills.

Responsibilities

• Build and operate the telemetry data platform that powers connected vehicle analytics, AI, quality engineering, and software-defined vehicle innovation at global scale.
• Build and operate large-scale telemetry pipelines that ingest, process, and publish vehicle data at enterprise scale.
• Develop batch and streaming solutions using Databricks, Spark, Event Hubs, and cloud-native technologies.
• Create reliable, production-grade data products that support analytics, AI, engineering, and operational decision-making.
• Implement data quality, validation, monitoring, and observability capabilities that proactively identify issues before they impact consumers.
• Design systems that are scalable, resilient, cost-efficient, and easy to operate.
• Build tooling and frameworks that make it easier for teams to develop and deploy trusted data assets.
• Troubleshoot performance bottlenecks and optimize large-scale distributed workloads.
• Improve platform reliability through automation, CI/CD, Infrastructure as Code, and engineering best practices.
• Partner with product, analytics, AI, and engineering teams to deliver trusted telemetry data at scale.
• Help raise the engineering bar through mentorship, technical leadership, and operational excellence.

Skills

Spark

Python/Scala

SQL

Databricks

Cloud platforms (Azure/AWS/GCP)

Event Hubs/Kafka/Pulsar

CI/CD & IaC

Observability

Data quality controls

Distributed systems

Troubleshooting

Communication

Education

Bachelor’s degree in Computer Science/Software/Data Engineering or related field

Tools

Databricks

Job description

General Motors is seeking a Senior Data Engineer to design and operate a world-class telemetry data platform at scale. You’ll help turn billions of vehicle events into trusted data assets used across analytics, AI, and product engineering.

The role focuses on building pipelines, observability, and reliable data products. It requires hands-on Spark/Databricks expertise, cloud-native solutions, and a strong commitment to data quality and scalability.