Senior Data Engineer, Vehicle Telematics Platform

General Motors (GM)

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXWarren, MI
Salary
$129,400–$168,650 / yr
Employment
Full-time
Posted
77 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $149k
$116k $231k
below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $126,800–$219,806 — the blue band above. At the midpoint, this role pays about $149k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Senior Data Engineer, Vehicle Telematics Platform

The Senior Data Engineer – Vehicle Telematics Platform joins the team to build, scale, and operate a world-class telemetry platform. This role focuses on platform engineering, where you will develop large-scale pipelines to ingest, process, and publish massive volumes of raw vehicle data into production-grade assets. You will build batch and streaming solutions to support connected vehicle analytics, AI, and software-defined vehicle innovation. Key responsibilities include implementing data quality controls, observability, and monitoring while optimizing distributed workloads for cost and performance. Required technical skills include Spark, Python or Scala, expert-level SQL, Databricks, and cloud-native technologies like Azure, AWS, or GCP. You will also utilize Event Hubs, Kafka, or Pulsar, while applying CI/CD, Infrastructure as Code, and automation best practices to ensure reliable data flow.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

What you'll do

  • Build and operate large-scale telemetry pipelines to ingest and process vehicle data at enterprise scale.
  • Develop batch and streaming solutions using Databricks, Spark, Event Hubs, and cloud-native technologies.
  • Create production-grade data products to support analytics, AI, and operational decision-making.
  • Implement data quality, validation, monitoring, and observability capabilities to proactively identify issues.
  • Design scalable, resilient, and cost-efficient systems for processing billions of telemetry events.
  • Build tooling and frameworks to help other teams 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.

What we're looking for

  • 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 and expert-level SQL skills.
  • Experience with Databricks, cloud-native solutions (Azure, AWS, or GCP), and streaming technologies like Kafka or Event Hubs.
  • Experience building production data pipelines, implementing observability, and enforcing data quality controls.
  • Experience with CI/CD, Infrastructure as Code, and automation practices.
  • Strong troubleshooting, communication, and problem-solving skills.

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