Senior Data Platform Engineer - Telemetry at Scale

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

Benefits offered by this job

Relocation benefits

Job summary

General Motors is seeking a hands-on Senior Data Engineer to help build, scale, and operate the telemetry platform turning vehicle data into trusted data assets. You will design large-scale pipelines, implement data quality and observability, and collaborate with analytics, AI, and engineering teams to deliver data at enterprise scale.

You will work in a hybrid model reporting to Warren or Austin Technical Centers, contributing to a platform that enables AI, quality engineering, and product

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

Azure

AWS

GCP

Event Hubs

Kafka

Streaming

CI/CD

Infrastructure as Code

Observability

Education

Bachelor's degree in Computer Science / related field

Tools

Databricks

Spark

Event Hubs

Kafka

Azure

AWS

GCP

Job description

General Motors is seeking a hands-on Senior Data Engineer to help build, scale, and operate the telemetry platform turning vehicle data into trusted data assets. You will design large-scale pipelines, implement data quality and observability, and collaborate with analytics, AI, and engineering teams to deliver data at enterprise scale.

You will work in a hybrid model reporting to Warren or Austin Technical Centers, contributing to a platform that enables AI, quality engineering, and product