Telematics Data Engineer

Ford Motor Company
5d

About The Position

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You’ll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams. In this position... As a Telematics Data Engineer, you will build and maintain scalable data pipelines on GCP to process high-velocity vehicle telemetry and geospatial data. You will transform raw GPS and CAN-bus signals into high-quality assets using Medallion architectures, with a focus on integrating Map APIs (e.g., Google Maps Platform) to provide critical spatial context. You will implement robust CI/CD workflows and data governance practices to ensure the data platform remains secure, efficient, and available for downstream analytics.

Responsibilities

  • Geospatial Integration: Implementing Google Maps APIs and spatial libraries to enrich raw telemetry with reverse geocoding, route-matching, and points of interest.
  • Operational Execution: Utilizing Terraform, Git, and Airflow to deploy and manage reproducible, cost-optimized cloud infrastructure.
  • Data Quality: Maintaining data lineage, PII protection (location privacy), and observability to ensure high-trust vehicle data assets.
  • Cross-Functional Support: Working alongside Data Scientists and Product Managers to deliver clean datasets for vehicle health and driver behavior insights.
  • Technical Development: Building ETL/ELT pipelines for spatial indexing and supporting the migration of data assets to BigQuery.
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