Senior Data Engineer – Vehicle Telematics Platform

GM•Austin, TX

22h•Hybrid

About The Position

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role Millions of connected vehicles generate an endless stream of telemetry every day. That data powers connected services, software-defined vehicle capabilities, quality and warranty insights, EV experiences, product development, analytics, AI, and future vehicle innovation. None of that happens without a world-class data platform. We're looking for a hands-on Senior Data Engineer to help build, scale, and operate the telemetry platform that turns massive volumes of raw vehicle data into trusted, discoverable, production-grade data assets used across General Motors. This is not a reporting role. This is not a dashboard role. This is a platform engineering role focused on building the pipelines, frameworks, quality controls, and observability capabilities that keep enterprise-scale telemetry data flowing reliably every day. If you enjoy building systems that process billions of events, solving distributed data challenges, and creating platforms that other teams depend on to do their jobs, you'll love this role.

Requirements

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

Nice To Haves

Reliability
Observability
Data quality
Performance
Scalability
Cost efficiency
Operational excellence

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