Hiring: Staff Data Engineer – Telematics Data Products Company: General Motors Location: Warren, MI Job Posted Time: 2026-09-02 18:02:41 Employment Type: Hybrid Target Skills & Keywords : Azure, Databricks, Machine Learning, Make, Move, Rust, SQL, Spark About the job Experience: •8+ years of experience in data engineering or analytics platforms, including experience operating at a senior or staff level with responsibility for architecture, technical direction, and cross-team impact Required Skills: •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]. •We're looking for a hands-on Staff Data Engineer to build the next generation of telematics data products that power analytics, AI, and decision-making across the enterprise. •This role sits at the intersection of data architecture, analytics, and platform engineering. Success isn't measured by pipelines alone—it's about creating trusted, reusable, analytics-ready data products that make complex telemetry data easier to discover, understand, and use at scale. •You'll help define the foundational datasets, shared metrics, and curated data products that enable teams across engineering, product, quality, safety, and operations to unlock value from connected vehicle data. •What You'll Do •Design and build reusable telematics data products that make analytics faster, simpler, and more scalable across the enterprise •Design canonical data products that make telematics data easier to understand, join, and reuse •Build curated analytics-ready datasets that standardize metrics, aggregations, and business logic across teams •Turn repeated analytical work into scalable, reusable data products •Use data usage patterns and adoption signals to help prioritize the data product roadmap •Design and implement scalable solutions in Azure Databricks •Improve performance, scalability, reliability, and cost efficiency •Enable self-service analytics by making data easier to discover, trust, and consume •Build data products that support analytics, machine learning, and AI use cases •This is an opportunity to help define how a large-scale telematics platform supports analytics, AI, and enterprise decision-making. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!