Staff Data Engineer, Telematics Data Products

General Motors (GM)

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TX
Salary: $160,200–$211,950 / yr
Posted: 31 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $186k

$128k most similar roles pay here $225k

This role pays more than 58% of similar roles. Most pay $137,500–$215,250 — the shaded band above. At the midpoint, this role pays about $186k 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 · Staff Data Engineer, Telematics Data Products

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The Staff Data Engineer – Telematics Data Products joins a team at the intersection of data architecture, analytics, and platform engineering. This role focuses on building next-generation telematics data products that power enterprise-wide analytics, machine learning, and AI decision-making. You will design and build reusable canonical data products, create curated analytics-ready datasets to standardize metrics across teams, and implement scalable solutions in Azure Databricks. The core responsibilities involve transforming complex telemetry data into trusted, accessible assets while improving performance, reliability, and cost efficiency. To succeed, you must possess expertise in SQL, Spark, and distributed data processing, alongside strong skills in data modeling and semantic design. You will work with IoT, event-stream, and sensor data to solve problems related to vehicle signals, battery health, and safety systems, moving the organization toward a scalable, unified data architecture.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

Skills

Databricks SQL Spark Azure Data Modeling Data Architecture Distributed Data Processing IoT Telemetry Machine Learning AI Analytics

What you'll do

Design and build reusable telematics data products to simplify analytics across the enterprise.
Create canonical data products that make complex telemetry data easier to understand and join.
Build curated, analytics-ready datasets that standardize metrics and business logic for multiple teams.
Transform repetitive analytical tasks into scalable, reusable data products.
Implement scalable solutions in Azure Databricks while optimizing for performance and cost efficiency.
Enable self-service analytics by improving the discoverability and reliability of data.
Develop data products specifically designed to support machine learning and AI use cases.
Use data usage patterns and adoption signals to prioritize the data product roadmap.

What we're looking for

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field.
8+ years of experience in data engineering or analytics platforms at a senior or staff level.
Deep hands-on experience with Databricks.
Strong skills in data modeling, semantic design, and data architecture.
Expertise in SQL, Spark, and distributed data processing.
Experience designing solutions for performance, scalability, reliability, and cost optimization.
Experience working with IoT, telemetry, event-stream, or sensor data.
Master's degree in Computer Science, Data Engineering, Data Science, Analytics, or a related discipline (preferred).

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