MacLean-Fogg Component Solutions

Manufacturing Engineer

MacLean-Fogg Component Solutions • $72K — $100K *
Mankato, MN 56001In-Person
Manufacturing & Automotive
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in manufacturing engineering, industrial engineering, mechanical engineering, or equivalent experience.
  • 3+ years in manufacturing, process, or industrial engineering in a heavy manufacturing context.
  • Strong grasp of manufacturing process development and control.
  • Proficiency in Lean Manufacturing principles.
  • Experience with root cause analysis methodologies.

Responsibilities

  • Own and optimize manufacturing processes for safe and efficient production.
  • Develop and maintain standard work, process flow diagrams, and specifications.
  • Support new product introductions with process development and trials.
  • Utilize Lean Manufacturing tools for cost reduction and waste improvement.
  • Collaborate with departments to analyze processes and implement improvements.

Benefits

  • Health, dental, and vision insurance.
  • 401(k) with company match.
  • Paid time off.
  • A strong company culture valuing integrity and innovation.
  • Commitment to community engagement and positive work environments.
Full Job Description


We offer
  • Competitive pay: $72,000 - $100,000
  • Great benefits: Health, dental, vision, 401(k) with company match, paid time off, and more
  • A strong company culture: We value integrity, innovation, and our people. We're committed to giving back to the community and creating a positive work environment


Key Responsibilities
  • Own and optimize manufacturing processes to ensure safe, capable, and efficient production that meets quality, delivery, and cost objectives
  • Develop, document, and maintain standard work, process flow diagrams, work instructions, and manufacturing specifications
  • Support new product introductions (NPI), including process development, risk assessment, production trials, and launch readiness
  • Utilize Lean Manufacturing and continuous improvement tools to support cost reduction initiatives to reduce waste, improve flow, and increase productivity initiatives through process optimization, labor balancing, and material utilization improvements
  • Partner with other departments to analyze process performance using data to address nonconformances, perform root cause analysis, and implement sustainable corrective and preventive actions
  • Support capital equipment, tooling, and automation projects, including justification, implementation, and validation
  • Ensure processes comply with EHS requirements, ergonomic standards, and company safety initiatives
  • Provide technical support to production teams and help train operators on new or improved processes
  • Collaborate cross-functionally with Operations, Quality, Maintenance, Supply Chain, and Design Engineering to evaluate and improve plant layouts for manufacturability, process robustness, efficiency, workflow, and future growth
  • Familiarity with PFMEA, control plans, and change management in a production environment
  • Strong analytical skills with the ability to use data to drive decisions and improvements
  • Effective communication skills and ability to work collaboratively with cross-functional teams
  • Self-directed, organized, and capable of managing multiple priorities in a fast-paced manufacturing environment
  • Proficiency with Microsoft Office; ERP or manufacturing systems experience a plus


What You Need to Succeed Essentials (Required)
  • Bachelor's degree in manufacturing engineering, Industrial Engineering, Mechanical Engineering, or a related technical field OR equivalent experience in a manufacturing-focused engineering role
  • 3+ years of experience in a manufacturing, process, or industrial engineering role within an industrial or heavy manufacturing environment
  • Strong understanding of manufacturing process development, process control, and continuous improvement methodologies
  • Working knowledge of Lean Manufacturing principles
  • Experience with root cause analysis methodologies
  • Ability to read and interpret engineering drawings, specifications, and manufacturing documentation


Preferred Skills (A Plus!)
  • Experience in iron foundry operations, including melting, molding, core making, pouring, shakeout, cleaning, and finishing processes
  • Familiarity with manufacturing data collection systems and production dashboards
  • Experience working with process control data
  • Understanding of Statistical Process Control (SPC), control charts, and process capability metrics
  • Ability to analyze and visualize data using tools such as Excel (advanced formulas, pivot tables), Power BI, or similar platforms
  • Experience collaborating with controls or automation engineers on equipment upgrades or process improvements
  • Familiarity with industrial controls concepts (sensors, PLC-driven equipment, HMI data) at a user or process-owner level
  • Interest in digital manufacturing, Industry 4.0, or smart factory initiatives
  • Experience turning manufacturing data into actionable improvement projects rather than reporting only


Join Our Team!

If you're a results-driven Manufacturing Engineer who enjoys working in a hands-on, industrial environment and wants to make a real impact, we encourage you to apply.

#MA

About MacLean-Fogg Component Solutions

MacLean-Fogg Component Solutions is a global manufacturer of engineered components and assemblies for the automotive, power utility, industrial and military markets. The company's products include fasteners, engineered components, suspension products, and wheel end systems. MacLean-Fogg Component Solutions is a division of MacLean-Fogg Company, a privately held company headquartered in Mundelein, Illinois. MacLean-Fogg Company was founded in 1925 by John MacLean and Barry Fogg. The company has operations in North America, Europe and Asia.
Learn more about MacLean-Fogg Component Solutions
Size
3,000 employees
Industry
Manufacturing & Automotive
Founded
1998
* Ladders Estimates

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