Manufacturing Process Engineer - Lean, CI & Projects

SPX Technologies; Bennettsville (SC); On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Educational assistance

Job summary

SPX Technologies is seeking a Manufacturing Engineer to drive improvements across the Electric Heat manufacturing processes. You will optimize machine cells, develop layouts, and collaborate with leadership to implement data-driven improvements.

The role emphasizes project management, cross-functional teamwork, and Lean Six Sigma principles while supporting production schedules and labor optimization. Strong Excel/PowerPoint skills are beneficial.

Qualifications

• 2-5 years in a manufacturing engineering role.
• Experience with designing and implementing machine/assembly cells and factory layouts.
• Project management experience with ability to manage multiple projects.
• Experience working with cross functional teams.

Responsibilities

• Oversee operations and drive workplace improvements, layout optimizations, and data-informed decisions.
• Conduct time studies and develop data for rates, line balancing, and cost estimates.
• Develop and implement standard work instructions.
• Analyze reports to identify changes in methods, tooling, and equipment to improve productivity and quality.
• Plan workspace layouts for efficiency, safety, and ergonomics.
• Coordinate projects from inception to completion with minimal direction.

Skills

Manufacturing engineering

Project management

Cross-functional teams

Data analysis

Lean Six Sigma

Microsoft Office

Education

Bachelors in Engineering

Tools

PowerPoint

Excel

Word

Job description

SPX Technologies is seeking a Manufacturing Engineer to drive improvements across the Electric Heat manufacturing processes. You will optimize machine cells, develop layouts, and collaborate with leadership to implement data-driven improvements.

The role emphasizes project management, cross-functional teamwork, and Lean Six Sigma principles while supporting production schedules and labor optimization. Strong Excel/PowerPoint skills are beneficial.