Industrial Data Engineer – Automation & Controls

Ford-Motor-Company; Marshall (MI); On-site; USD 65,000 - 166,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Parental leave

Vehicle discount

Tuition assistance

Paid time off

Paid holidays

Job summary

Ford Motor Company is seeking a data-focused engineer to help build and optimize data pipelines in a new Michigan manufacturing setting. You will lead data-driven solutions and collaborate with cross-functional teams to enable automated workflows across production systems.

The role requires 4+ years in data engineering, 2+ years in data visualization, and experience with Python, SQL, and either C++ or Java.

Qualifications

• Bachelor's degree required or equivalent in a related field.
• 4+ years of data engineering experience.
• 2+ years of data visualization (reports, dashboards).
• 2+ years using Python, SQL, C++, or Java for automation and data processing.

Responsibilities

• Ensure adherence to Ford Production System and KUP.
• Understand and apply standard manufacturing operating systems.
• Enforce Safety, Quality OS practices to reduce injuries/defects.
• Develop data pipelines and workflows to automate tasks.
• Connect enterprise apps, SaaS platforms and manufacturing systems via APIs and orchestration workflows.
• Perform data profiling, mapping, and modeling for governance compliance.
• Identify controls and launch training/change control initiatives.
• Troubleshoot PLCs, robots and automation issues.
• Program new installations of vision, dispensing, leak test and electrical systems.

Skills

Data engineering

Data visualization

Python

SQL

C++/Java

Education

Bachelor's degree

Job description

Ford Motor Company is seeking a data-focused engineer to help build and optimize data pipelines in a new Michigan manufacturing setting. You will lead data-driven solutions and collaborate with cross-functional teams to enable automated workflows across production systems.

The role requires 4+ years in data engineering, 2+ years in data visualization, and experience with Python, SQL, and either C++ or Java.