Senior Data Engineer, Vehicle Telematics Platform

General Motors (GM)

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$129,400–$168,650 / yr
Posted
31 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $149k
$119k most similar roles pay here $226k

This role pays less than 65% of similar roles. Most pay $135,675–$216,000 — the shaded band above. At the midpoint, this role pays about $149k versus about $176k 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 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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View all roles at General Motors (GM)

At a glance

TL;DR · Senior Data Engineer, Vehicle Telematics Platform

Senior Data Engineer – Vehicle Telematics Platform As a Senior Data Engineer – Vehicle Telematics Platform, you will join the team responsible for building and operating a world-class telemetry platform that processes massive volumes of raw vehicle data into production-grade assets. You will develop large-scale batch and streaming pipelines to support connected vehicle analytics, AI, quality engineering, and software-defined vehicle innovation. Your daily work involves creating reliable data products, implementing observability and quality controls, and optimizing distributed workloads for performance and cost efficiency. The role requires expertise in Spark, Python or Scala, and expert-level SQL. You will utilize Databricks, Event Hubs, and cloud-native technologies across Azure, AWS, or GCP environments. By leveraging CI/CD and Infrastructure as Code, you will ensure the reliable flow of billions of telemetry events to power critical engineering and operational decision-making processes.

What does a Data Engineer earn?

Median $183138 from 214 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 engineering 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 tools and frameworks to simplify the development and deployment of trusted data assets.
  • Troubleshoot performance bottlenecks and optimize large-scale distributed workloads.
  • Improve platform reliability through automation, CI/CD, and Infrastructure as Code 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.
  • 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.

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