Remote Manufacturing/Industrial Engineer: Capacity Study

Eaton

El Paso (TX)

On-site

USD 86,000 - 126,000

Full time

14 days+
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Job summary

Eaton is seeking a Manufacturing/Industrial Engineer focused on Capacity and Time Study to join our team. This remote-based role requires travel up to 75% and candidates must reside within 100 miles of Charlotte, NC, Raleigh, NC, Greenville, SC, Spartanburg, SC or El Paso, TX.

The job centers on cycle time data collection and capacity modeling. You will collaborate with manufacturing, operations and engineering to establish labor standards and standard work, build capacity models, and prepare

Qualifications

  • Bachelor’s degree in Engineering from an accredited institution.
  • Minimum of two years of manufacturing operations experience.
  • Experience with standard work and value-added/non-value-added cycle times.
  • Authorized to work in the United States without sponsorship.

Responsibilities

  • Conduct time studies and cycle time observations across manufacturing processes.
  • Record and validate process times using standard industrial engineering methods.
  • Analyze data to identify bottlenecks and inefficiencies.
  • Support development of standard work and labor benchmarks.
  • Assist in building and maintaining capacity models.
  • Collaborate with operations teams to ensure data accuracy.
  • Prepare reports and visualizations summarizing findings and recommendations.

Skills

Time study
Cycle time analysis
Data analytics
Communication skills
Lean Six Sigma

Education

Bachelor's degree in Engineering
Manufacturing/ Industrial Engineering (preferred)

Job description

Eaton is seeking a Manufacturing/Industrial Engineer focused on Capacity and Time Study to join our team. This remote-based role requires travel up to 75% and candidates must reside within 100 miles of Charlotte, NC, Raleigh, NC, Greenville, SC, Spartanburg, SC or El Paso, TX.

The job centers on cycle time data collection and capacity modeling. You will collaborate with manufacturing, operations and engineering to establish labor standards and standard work, build capacity models, and prepare

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