https://www.careers.ford.com/location/remote-jobs/48560/1000000000100/2
Example posting:
Data Engineer
Location
Remote
Category
PD Operations and Quality
What you'll do...
We are looking for a Full Stack Data Engineer to design, build, and maintain end-to-end data solutions — from raw data ingestion and API development through to curated semantic layers that power analytics and business decision-making.
Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources into Google BigQuery and other cloud data platforms.
Develop, document, and maintain RESTful/GraphQL APIs to expose data and services to internal applications, dashboards, and third-party consumers.
Design and manage a semantic data layer (e.g., LookML, dbt semantic models, Cube.js, or similar) that translates raw data into consistent, business-friendly metrics and definitions.
Implement and maintain a data catalog / knowledge catalog (e.g., Google Data Catalog, Collibra, Alation, Atlan) to improve data discoverability, lineage tracking, and metadata management.
Optimize BigQuery performance through partitioning, clustering, query tuning, and cost-management best practices.
Build data quality checks, monitoring, and alerting to ensure pipeline reliability and data trustworthiness.Collaborate with cross-functional teams (analytics, product, engineering) to gather requirements and translate them into scalable data models and API contracts.
Enforce data governance, security, and access control standards (PII handling, role-based access, encryption).
Write clean, well-tested, and maintainable code (Python/SQL, and backend frameworks for APIs).
Participate in code reviews, architecture discussions, and CI/CD pipeline development for data and application deployments.
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