Value-Stream Manufacturing Engineer - Lean & Process Improvement

Fairweather, LLC

Village of Clyde (NY)

On-site

USD 70,000 - 95,000

Full time

14 days+

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Benefits offered by this job

Variable Incentive Plan (Bonus Eligibl
Health, Dental, and Vision Insurance
401k Plan with Employer Match
Tuition Reimbursement
12 Paid Holidays
Vacation Accrual

Job summary

Advanced Atomization Technologies seeks a Professional Band 1 Manufacturing Engineer with 2–4 years of manufacturing experience to support value streams and drive operational excellence. The role emphasizes process development, documentation, and continuous improvement across multiple value streams.

The successful candidate will work with engineering leadership and operations to sustain health of value streams, improve efficiency, and mentor team members in Lean and statistical methods.

Qualifications

  • Bachelor's degree in Manufacturing Engineering or related field.
  • 2+ years engineering experience in a manufacturing environment.
  • Basic knowledge of manufacturing processes and lean principles.

Responsibilities

  • Support high-performance value stream metrics and initiatives.
  • Assist in Strategy Deployment and process documentation.
  • Support health of value streams including TPM, scrap reduction and MDR onset.
  • Provide operational training and mentor engineering teammates.
  • Support Lean / Continuous Improvement activities such as VSM, CP Analysis, and data analysis.

Skills

Lean manufacturing
GD&T knowledge
CAD modeling
Problem solving
Team collaboration
Communication
Microsoft Office

Education

Bachelor's degree in Manufacturing Engineering or related field

Tools

CREO/UGNX
Minitab
Solumina

Job description

Advanced Atomization Technologies seeks a Professional Band 1 Manufacturing Engineer with 2–4 years of manufacturing experience to support value streams and drive operational excellence. The role emphasizes process development, documentation, and continuous improvement across multiple value streams.

The successful candidate will work with engineering leadership and operations to sustain health of value streams, improve efficiency, and mentor team members in Lean and statistical methods.

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