Data Engineer, Automation & Controls

Ford Motor Company's Marshall, Michigan manufacturing operations are seeking a Data Engineer focused on Automation & Controls to architect data pipelines, automate routine data tasks, and integrate data across enterprise applications within manufacturing and electrification initiatives. This onsite role offers a competitive salary range of USD 65,100 to 166,200 per year and a focus on building robust workflows that support production systems and governance across the organization.

Overview

• Job Type: Full time
• Work Type: On-site
• Location: Marshall, MI

Responsibilities

• Maintain adherence to the Ford Production System (FPS) Key Unifying Processes (KUP).
• Understand and apply standard manufacturing operating systems and principles consistently.
• Enforce Safety Operating System practices to aim for zero injuries.
• Ensure compliance with Quality Operating System practices to pursue zero defects.
• Data pipeline development.
• Develop workflows to automate repetitive data tasks.
• Connect enterprise applications, SaaS platforms, and manufacturing or operational systems using APIs, event-driven messaging, and orchestration workflows.
• Perform data profiling, mapping, and modeling to ensure accuracy, consistency, and governance compliance.
• Identify and implement Controls Best Practice; launch enablers, training, and change control, etc.
• Liaise with IT on IT / Controls interface issues.
• Drawing approvals and updates, hydraulic, pneumatic, and electrical systems.
• Monitor use of structured software specifications; organize training for OEMs where required.
• Issue resolution during machine build, installation, and steady-state production.
• Troubleshoot production-related downtime (PLC programs, HMI screens, etc.).
• Setup and maintenance of industrial barcode scanners and printers.
• Run-off equipment per Ford specifications at supplier and plant to validate capability and robustness including safety.
• Ensure production systems meet objectives through process design and FMEAs.
• Collaborate with plant and Manufacturing Engineering personnel to ensure timely installation and validation with appropriate documentation.
• Capture and apply lessons learned to new programs and assess impact on existing strategies and standards.
• Troubleshoot PLC, robot, and other automation problems.
• Update program backups for automation.
• Program new installations of vision, fastening, dispense, leak test, electrical test, gantry and conveyor systems.
• Reprogram automation for engineering changes and improvements.
• Maintain flexibility to work across standard operating and rotational shift schedules, including day, night, weekend, and holiday shifts.

Requirements

• Bachelor's degree.
• 4+ years of data engineering experience.
• 2+ years of data visualization experience (reports, dashboards).
• 2+ years of experience using Python, SQL, C++, Java, or similar platforms for automation and data processing.

Technologies

• Python
• SQL
• C++
• Java
• Power BI

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.