Data Engineer

Ford • Dearborn, MI

15h • Hybrid

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 tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
In this position...
We are seeking a talented and driven Data Engineer to join our team. In this role, you will be instrumental in building and maintaining the foundational data infrastructure that powers our analytics and machine learning initiatives. You will design, develop, and optimize robust data pipelines, ensuring that high-quality data is accessible, reliable, and scalable across the organization.

Requirements

• Master’s degree in Computer Science, Software Engineering, Information Systems, or a closely related quantitative field.
• Demonstrated ability to design and build production-grade data pipelines.
• Strong experience with data modeling, database design, and storage optimization (SQL and NoSQL).
• Expertise in at least one major programming language used in data engineering (e.g., Python).
• Proficiency in writing complex, highly optimized SQL queries for large-scale data analysis.
• Experience with workflow orchestration tools.
• Familiarity with distributed computing frameworks.
• Proven ability to translate business requirements into technical data architecture.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest data from a variety of internal and external sources.
• Architect and optimize data storage solutions (data warehouses and data lakes) to ensure high performance and cost-efficiency.
• Ensure data integrity and quality by implementing automated testing, monitoring, and validation frameworks within the data lifecycle.
• Collaborate closely with Data Scientists and Product teams to understand their data requirements and provide "model-ready" datasets.
• Build and maintain API integrations and microservices to facilitate seamless data movement between systems.
• Implement automation and CI/CD practices for data infrastructure to improve deployment speed and system reliability.
• Troubleshoot and resolve complex data-related issues, optimizing slow-running queries and bottlenecks in the data flow.
• Stay up-to-date with the latest advancements in data engineering, cloud architecture, and distributed computing technologies.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level