Software Engineer

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.

Key Pillars

• 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.

  

 

What you'll do...

• Develop Telematics Pipelines: Build and operate end-to-end data pipelines (ETL/ELT) that ingest and process large-scale vehicle telemetry, including GPS, speed, and engine diagnostics.
• Integrate Map APIs: Implement and maintain integrations with Google Maps APIs for geocoding, snap-to-road functionality, and distance calculations.
• Spatial Data Modeling: Develop and optimize data models in BigQuery using GEOGRAPHY types and spatial indexing (e.g., S2 or H3 cells) for efficient geospatial querying.
• Medallion Architecture: Maintain data flowing through Bronze, Silver, and Gold layers to support trip reconstruction and reporting.
• Orchestration & CI/CD: Build and manage pipeline orchestration using Airflow/Astronomer and ensure deployments follow CI/CD standards using Terraform and Git.
• Monitor Data Quality: Implement automated checks to detect GPS drift, signal loss, or data inconsistencies using tools like Splunk, Grafana, or Looker.
• Privacy & Security: Apply data governance and compliance controls, ensuring the protection of sensitive location data and PII.
• Cloud Optimization: Monitor GCP resource usage (BigQuery, Dataflow, GCS) to ensure cost-effective processing of high-frequency telematics data.
• Support & Maintenance: Participate in on-call rotations and incident response to maintain the reliability of data services.

You'll have...

• Bachelor's Degree in Computer Science, Information Systems, or a related field.
• 7+ years of experience in data engineering or a similar technical role.
• 2+ years of experience in telemetry, IoT, or time-series data.
• 2+ years of experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Dataproc).

 

Even better, you may have...

• Experience working with Google Maps Platform APIs or similar geospatial web services.
• Strong proficiency in Python and SQL; experience with PySpark and geospatial libraries (e.g., GeoPandas, Shapely).

 

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what yo