Full Stack Data Engineer

Ford Motor Company · Dearborn, Michigan, United States · $85K–$143K/yr

Motor Vehicle Manufacturing · 10,001+ employees

5 h ago

Mid (2-5 yrs) Full-time United States

About the role

The Full Stack Data Engineer will design, develop, and maintain scalable data pipelines and cloud infrastructure to support financial reporting and analytics. They will collaborate with cross-functional teams to deliver secure, high-performing data products while ensuring data quality and governance.

What they look for

Google Cloud Platform Data engineering Data warehousing Python SQL Terraform CI/CD DevOps Data modeling Data pipelines Agile Scrum BigQuery Dataflow Spark Docker

Requirements

Candidates must have a bachelor's degree in a technology-related field and at least 3 years of hands-on experience with Google Cloud Platform. Proficiency in data warehousing, infrastructure as code, and modern software engineering practices is required.

Benefits

Medical coverage Dental coverage Prescription drug coverage Flexible family care Parental leave New parent ramp-up programs Subsidized back-up child care Vehicle discount program Tuition assistance Employee resource groups Paid time off Paid holidays

Full description

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.