Process Engineer – Lean Manufacturing & CI

Hale Products, Inc.

Farmington (CT)

On-site

USD 100,000 - 150,000

Full time

8 days ago
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Benefits offered by this job

Health benefits
401(k) retirement savings with company
PTO

Job summary

Mott, located in Farmington, CT, seeks a Process Engineer to partner with Operations, Quality, Supply Chain, and Project Engineering to develop and improve safe, repeatable manufacturing processes that meet quality, cost, and delivery goals.

You will convert product and customer requirements into production methods, create work instructions and control plans, and drive improvements using Lean and data-driven methods in a high-precision environment.

Qualifications

  • Bachelor’s degree in Mechanical, Chemical, Industrial, Manufacturing, Materials Science, or a related engineering discipline.
  • 2+ years of process/manufacturing/industrial engineering experience preferred; internships/co-ops or hands-on manufacturing experience may be considered.
  • Demonstrated ability to solve technical problems using data and structured methods such as 5 Whys, cause-and-effect analysis, 8D, FMEA, or equivalent approaches.
  • Working knowledge of manufacturing documentation, drawing interpretation, process controls, and production systems; experience with ERP systems and Microsoft Office is preferred.
  • Ability to collaborate effectively with operators, technicians, engineers, and cross-functional partners in a hands-on manufacturing environment.
  • Exposure to Lean, Six Sigma, SPC, capability analysis, CAD, tooling/fixture design, equipment validation, or process scaling is preferred.

Responsibilities

  • Support daily production by troubleshooting process and equipment issues, restoring stable operation, and helping the value stream achieve safety, quality, delivery, productivity, and cost targets.
  • Develop and maintain work instructions, standard work, manufacturing routes, bills of material, process detail sheets, control plans, and other records for repeatable production.
  • Partner with Project Engineering and Supply Chain to evaluate manufacturability, establish build parameters, and transfer new or modified products and processes to production.
  • Collect and analyze process data; identify variation, bottlenecks, and waste; implement improvements using structured problem-solving, Lean, and statistical methods.
  • Create and implement process controls that meet customer specifications, quality-system requirements, and internal performance expectations.
  • Participate in root-cause investigations and corrective actions related to nonconformances, RMAs, CARs, and MRRs; verify solutions are effective and sustained.
  • Support tooling, fixturing, and capital-equipment projects by defining technical needs, assisting with justification, coordinating trials, and completing validation and implementation documentation.
  • Work directly with operators, technicians, Maintenance, Quality, EHS, R&D, Sales, and other stakeholders to improve process capability and resolve manufacturing concerns.
  • Apply safety-first engineering practices, including risk assessment, machine guarding, lockout/tagout documentation, and safe operating requirements for new or modified processes.
  • Build subject-matter expertise in the assigned manufacturing area and cross-train in adjacent processes to strengthen operational coverage.

Skills

Structured problem-solving
Lean
Six Sigma
Statistical process control
Capability analysis
Collaboration

Education

Bachelor’s degree in Mechanical, Chemical, Industrial, Manufacturing, Materials Science, or related engineering

Tools

ERP systems
Microsoft Office
CAD

Job description

Mott, located in Farmington, CT, seeks a Process Engineer to partner with Operations, Quality, Supply Chain, and Project Engineering to develop and improve safe, repeatable manufacturing processes that meet quality, cost, and delivery goals.

You will convert product and customer requirements into production methods, create work instructions and control plans, and drive improvements using Lean and data-driven methods in a high-precision environment.

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