Staff Data Engineer, Telematics Data Platforms

General Motors; Warren (MI); Hybrid; USD 160,000 - 212,000; Full time

Job summary

General Motors is seeking a Staff Data Engineer to design and build telematics data products that power analytics, AI, and enterprise decision-making at scale. This hands-on role sits at the intersection of data architecture, analytics, and platform engineering.

You will define foundational datasets, standardized metrics, and reusable data products for teams across engineering, product, quality, safety, and operations.

Qualifications

• Bachelor's degree in a technical field required or equivalent experience.
• 8+ years in data engineering or analytics platforms with architecture responsibility.
• Deep hands-on experience with Databricks and data product design.

Responsibilities

• Design and build reusable telematics data products for analytics at scale.
• Create canonical data products that are easy to understand and reuse.
• Develop curated analytics-ready datasets with standardized metrics.
• Turn repetitive analytics into scalable data products.
• Utilize data usage patterns to guide 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 discoverable and trusted.
• Build data products to support analytics, ML, and AI use cases.

Skills

Databricks

SQL

Spark

Data modeling

Data architecture

IoT telemetry data

Analytics product mindset

Cross-team collaboration

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Master's degree preferred

Tools

Azure Databricks

Job description

General Motors is seeking a Staff Data Engineer to design and build telematics data products that power analytics, AI, and enterprise decision-making at scale. This hands-on role sits at the intersection of data architecture, analytics, and platform engineering.

You will define foundational datasets, standardized metrics, and reusable data products for teams across engineering, product, quality, safety, and operations.