Staff Data Engineer - Telematics Data Products
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Role details
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Job description
Experteer Overview In this Staff Data Engineer role, you will build scalable telematics data products that power analytics, AI, and enterprise decision-making. You’ll operate at the intersection of data architecture, analytics, and platform engineering to deliver trusted, reusable data products across teams. You’ll shape foundational datasets, metrics, and analytics-ready data products to unlock value from connected vehicle data. This is a hands-on, impact-driven position that focuses on scalable, governance-driven data platforms that enable self-service analytics and AI use cases. Compensation / Benefits * Design and build reusable telematics data products to accelerate analytics * Create canonical data products to simplify understanding and reuse of telematics data * Develop curated analytics-ready datasets with standardized metrics and logic * Turn repetitive analytical work into scalable data products * Prioritize the data product roadmap using usage patterns and adoption signals * Design and implement scalable solutions in Azure Databricks * Improve performance, scalability, reliability, and cost efficiency * Enable self-service analytics by increasing data discoverability and trust * Build data products to support analytics, machine learning, and AI use cases * Contribute to defining a large-scale telematics platform for analytics and AI across programs Tasks * Bachelor’s degree in a technical field * 8+ years in data engineering or analytics platforms with architecture and cross-team influence * Deep hands-on experience with Databricks * Strong data modeling, semantic design, and data architecture skills * Expertise in SQL, Spark, and distributed data processing * Experience designing scalable, high-performance, cost-efficient solutions * Understanding of how analysts, engineers, data scientists, and ML practitioners consume data * Experience with IoT, telemetry, event-stream, or sensor data * Experience enabling AI/ML through governed, reusable data products * Builder mindset with bias toward simplification Key requirements * health and wellbeing benefits * Health Savings Account * Flexible Spending Accounts * retirement savings plan * paid vacation & holidays * tuition assistance programs’,’employee assistance program’,’GM vehicle discounts
Requirements
- Design and implement scalable solutions in Azure Databricks * Improve performance, scalability, reliability, and cost efficiency * Enable self-service analytics by increasing data discoverability and trust * Build data products to support analytics, machine learning, and AI use cases * Contribute to defining a large-scale telematics platform for analytics and AI across programs Tasks * Bachelor’s degree in a technical field * 8+ years in data engineering or analytics platforms with architecture and cross-team influence * Deep hands-on experience with Databricks * Strong data modeling, semantic design, and data architecture skills * Expertise in SQL, Spark, and distributed data processing * Experience designing scalable, high-performance, cost-efficient solutions * Understanding of how analysts, engineers, data scientists, and ML practitioners consume data * Experience with IoT, telemetry, event-stream, or sensor data * Experience enabling AI/ML through governed, reusable data aaaaa aI_ * Builder mindset with bias toward simplification Key requirements * health and wellbeing benefits * Health Savings Account * Flexible Spending Accounts * retirement savings plan * paid vacation & holidays * tuition assistance programs’,’employee assistance program’,’GM vehicle discounts
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