Full Stack Data Engineer
About The Position
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.
Requirements
- Strong technical background
- Experience in Google Cloud Platform (GCP)
- Experience in data warehousing
- Experience in batch and streaming pipeline development
- Experience in infrastructure automation
- Experience in modern software engineering practices
Responsibilities
- End-to-end design, development, deployment, optimization, and production support of finance data products
- Ingestion and transformation of data
- Governance, quality monitoring, and delivery of data products
- Build scalable, high-performance data pipelines and cloud infrastructure
- Deliver secure, reliable, cost-effective, and high-performing data solutions at enterprise scale
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
