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Ford Motor Company VERIFIED EMPLOYER

Full Stack Data Engineer.

Data Engineering & Architecture Full-Time

Full Stack Data Engineer: our view in 3 lines...

  • The Role:This role is for a data engineer building finance data platforms and products for enterprise analytics and reporting at Ford.
  • The Person:The person will design, develop, deploy, optimize, and support finance data products from ingestion and transformation through governance, quality monitoring, and delivery.
  • Requirements:The ideal candidate has experience in Google Cloud Platform (GCP), data warehousing, batch and streaming pipeline development, infrastructure automation, and modern software engineering practices.

About the role

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world – together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Do you believe data is the engine driving the future of mobility? We do! Transforming how Ford manages, analyzes, and leverages financial data requires scalable data platforms, reliable cloud infrastructure, and high-quality analytical products that enable timely, data-driven decision-making. That’s where the Finance Data Hub makes an impact. We are modernizing how Ford manages financial data globally, delivering trusted and secure data products that support critical finance initiatives across the enterprise.

We are seeking a talented and driven Full Stack Data Engineer to join our product team. In this role, you will build scalable, high-performance data pipelines and cloud infrastructure that power financial reporting, analytics, and strategic decision-making. You should have a strong technical background and demonstrate experience in Google Cloud Platform (GCP), data warehousing, batch and streaming pipeline development, infrastructure automation, and modern software engineering practices.

Responsibilities include the end-to-end design, development, deployment, optimization, and production support of finance data products—from ingestion and transformation through governance, quality monitoring, and delivery. Working in an Agile, customer-centric environment and in close partnership with analytics stakeholders, product managers, and cross-functional engineers, you will deliver secure, reliable, cost-effective, and high-performing data solutions at enterprise scale.

Published August 6, 2026
Location Dearborn, MI
Job Type Full-Time