Telematics Data Engineer
Location
United States
Posted
3 days ago
Salary
Not specified
Job Description
Role Description
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.
Qualifications
- Experience with GCP and data pipeline development.
- Proficiency in Python or similar programming languages.
- Familiarity with data governance and CI/CD practices.
- Understanding of geospatial data and APIs.
Requirements
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment.
- Excellent communication skills.
- Experience with Terraform, Git, and Airflow.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health benefits.
- Retirement savings plans with company match.
- Opportunities for professional development and growth.
Job Requirements
- Experience with GCP and data pipeline development.
- Proficiency in Python or similar programming languages.
- Familiarity with data governance and CI/CD practices.
- Understanding of geospatial data and APIs.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment.
- Excellent communication skills.
- Experience with Terraform, Git, and Airflow.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health benefits.
- Retirement savings plans with company match.
- Opportunities for professional development and growth.
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