Senior Process Engineer - Lean Manufacturing & Automation

engineeringjobs.net, Inc.; Utah; On-site; USD 81,000 - 115,000; Full time

Benefits offered by this job

Healthcare coverage

USA 401(k) retirement savings plan

Paid company holidays

Paid vacation time

Paid sick time

Parental leave

Disability leave (short/long-term)

Education reimbursement

Employee assistance program

Job summary

Dura-Line, part of Orbia Connectivity Solutions, is hiring a Senior Process Engineer in Salt Lake City, Utah. You will assess and enhance manufacturing operations, drive quality, cost, and efficiency improvements, and collaborate with production teams to implement standardized processes and continuous improvement initiatives.

The role involves developing routings, optimizing processes, and applying statistical methods to guide data-driven decisions while supporting CAPEX projects, equipment

Qualifications

• Bachelor's degree in engineering, preferably Industrial or Mechanical, and strong analytical mindset.
• Experience with automation, CAD, and data-driven decision tools.
• Leadership experience and ability to train peers.
• Project management skills for CAPEX and plant transformation initiatives.

Responsibilities

• Maintain and improve engineering BOMs, documentation, and process information.
• Develop manufacturing process routings to support efficient, repeatable production.
• Apply Lean Six Sigma and data analysis to drive quality and cost improvements.
• Provide design recommendations to improve manufacturability and performance.
• Lead small teams and projects and support plant layouts and equipment decisions.

Job description

Dura-Line, part of Orbia Connectivity Solutions, is hiring a Senior Process Engineer in Salt Lake City, Utah. You will assess and enhance manufacturing operations, drive quality, cost, and efficiency improvements, and collaborate with production teams to implement standardized processes and continuous improvement initiatives.

The role involves developing routings, optimizing processes, and applying statistical methods to guide data-driven decisions while supporting CAPEX projects, equipment