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 and query datasets, develop reusable data models, and implement automated data quality checks.

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
• Experience with data engineering, analytics, and AI tools

Benefits

• Full-time employment
• Hybrid work arrangement