Manufacturing Process Excellence Engineer

Automatic Data Processing, Inc.; Waupaca (WI); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

HSA with Company Contribution

FSA

401(k) with Company Match

Company-Paid Life Insurance

Disability Insurance

Paid Time Off & Holidays

Professional Development

Job summary

Steele Solutions is seeking a Manufacturing Engineer to drive continuous improvement across our Wisconsin facilities. You will analyze production methods, layouts, and equipment to boost safety, quality, productivity, and efficiency while partnering with operations, maintenance, and leadership teams.

Ideal candidates have a manufacturing/industrial/mechanical engineering background with 3+ years of experience, knowledge of DFMs, and proficiency in data analysis and problem solving.

Qualifications

• Bachelor's degree in Manufacturing, Industrial, or Mechanical Engineering and 3+ years in manufacturing engineering or continuous improvement.
• Experience leading process improvement and operational efficiency initiatives preferred.
• Ability to interpret engineering drawings and specifications.

Responsibilities

• Analyze production methods, workflow, layouts, and data to improve efficiency and cost performance.
• Lead development and implementation of new processes, tooling, and production controls.
• Develop work instructions, procedures, and equipment documentation.
• Support DFMs and new product introductions; collaborate with operations and quality teams.

Skills

Manufacturing processes

Data analysis

Root cause analysis

Project management

Communication

Cross-functional collaboration

Lean Manufacturing

Six Sigma

Education

Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or related field

Tools

MS Office

Job description

Steele Solutions is seeking a Manufacturing Engineer to drive continuous improvement across our Wisconsin facilities. You will analyze production methods, layouts, and equipment to boost safety, quality, productivity, and efficiency while partnering with operations, maintenance, and leadership teams.

Ideal candidates have a manufacturing/industrial/mechanical engineering background with 3+ years of experience, knowledge of DFMs, and proficiency in data analysis and problem solving.