Data Engineer, Digital Analytics and Experimentation

Role Overview

We are seeking an experienced Data Engineer to join Ford’s Digital Analytics & Experimentation team. This role will design, build, and maintain scalable data pipelines and curated data assets that support digital analytics, KPI reporting, experimentation, personalization, and AI-enabled insight generation.

What You Will Do

Design, build, and maintain scalable data pipelines and curated data assets, integrate, query, transform, and validate clickstream, customer, vehicle, lead, dealer, campaign, CRM, product, and other approved enterprise datasets.

Why It Might Be a Fit

The strongest candidate will bring deep technical fluency in data engineering, strong digital analytics context, and practical experience applying AI tools, automation, and modern development practices to improve the speed, quality, and scalability of analytics delivery.

Requirements

• Deep technical fluency in data engineering
• Strong digital analytics context
• Practical experience applying AI tools, automation, and modern development practices
• Version control, code reviews, documentation, testing, orchestration, CI/CD, and release governance