Manufacturing Process Engineer

Lanco Group of CompaniesLenexa, KS
Onsite

About The Position

We are seeking an experienced Process Engineer to own, standardize, and continuously improve end-to-end manufacturing processes with equal emphasis on process capability, quality performance, and operational execution. This role blends the core responsibilities of Quality and Operations to drive cross-functional alignment and promote our goal of efficiently producing safe, quality machines for our customers.

Requirements

  • 1-3 years of experience in manufacturing, process, or quality engineering within heavy equipment, automotive, or similarly complex manufacturing environments.
  • Demonstrated experience across both process execution and quality control, including: Assembly and/or fabrication processes Process documentation and standard work Root cause analysis and corrective action Continuous improvement and Lean manufacturing
  • Bachelor’s degree in Engineering (Manufacturing, Industrial, Mechanical) or a related field
  • Process documentation (SOPs, routings, BOMs, control plans)
  • PFMEA, RCCA, and structured problem-solving methods
  • Lean manufacturing tools and continuous improvement techniques
  • ERP/MRP systems
  • Data analysis using Excel and similar tools (Power BI a plus)
  • Ability to read and interpret engineering drawings, specifications, and CAD models
  • Strong communication and cross-functional collaboration skills
  • Comfortable working in a hands-on, shop-floor-based role
  • Ability to work independently while driving alignment across teams
  • Detail-oriented with a systems-level understanding of manufacturing processes
  • Ability to work in a manufacturing environment and support shop-floor activities
  • Ability to lift up to 50 lbs as required

Nice To Haves

  • Experience at established industrial or OEM manufacturing organizations (e.g., heavy equipment, automotive, or tier suppliers)
  • Exposure to ISO 9001, internal auditing, or formal quality management systems
  • Six Sigma Green Belt or similar certification a plus

Responsibilities

  • Own and maintain manufacturing processes for assembly and fabrication operations, from incoming material through final inspection.
  • Develop, implement, and sustain standard work, SOPs, routings, and manufacturing documentation to ensure repeatable, high-quality execution.
  • Define process parameters, controls, and acceptance criteria to ensure consistent output that meets design and customer requirements.
  • Partner with Manufacturing Engineering to support process design, line layout, material flow, and workstation optimization.
  • Support time studies, capacity analysis, line balancing, and workflow improvements to improve throughput and reduce waste.
  • Participate in tooling, fixture, and equipment definition to ensure robust and error-resistant processes.
  • Lead and support PFMEA development, control plans, and process risk assessments.
  • Drive root cause analysis (RCCA, 5-Why, Fishbone) for internal defects, nonconformances, and customer issues.
  • Own and execute corrective and preventive actions (ICAR/SCAR) and verify effectiveness of implemented solutions.
  • Support inspection strategies including incoming, in-process, first article, and final inspection.
  • Support NPI activities by ensuring manufacturing processes are capable, documented, and validated prior to launch.
  • Partner with Product Engineering to drive Design for Manufacturability (DFM) and Design for Assembly (DFA).
  • Support pilot builds, process validation, and transition to full-rate production.
  • Lead continuous improvement initiatives using Lean manufacturing tools (Kaizen, 5S/6S, value stream mapping).
  • Use data-driven analysis to improve key metrics including safety, quality, delivery, cost, and inventory.
  • Monitor process performance and implement countermeasures to sustain gains.
  • Support internal and external audits (e.g., ISO 9001) and ensure processes align with quality system requirements.
  • Develop and maintain process and quality metrics to support operational decision-making.
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