Manufacturing/Industrial Engineer - Industrial, Capacity & Time Study

Eaton Corporation•El Paso, TX

4d•$86,000 - $126,000•Remote

About The Position

Eaton's Corporate Sector is seeking a Manufacturing/Industrial Engineer focused on Capacity & Time Study. This is a remote-based position with expected travel of 75%. The role supports manufacturing operations through cycle time data collection, analysis, and capacity modeling. It offers early-career engineers hands-on shop floor experience while contributing to productivity improvements and operational planning. The selected candidates will collaborate with manufacturing, operations, and engineering teams to establish accurate labor standards and production capacity models.

Requirements

Bachelor’s degree in Engineering or other related technical field from an accredited institution.
Minimum of two (2) years of manufacturing operations experience, inclusive of internships and/or co-ops.
Experience in creating standard work including “value added” / “non-value added” cycle time collection/analysis and operator balancing.
Must be legally authorized to work in the United States without company sponsorship, now or in the future.
This position requires access to export-controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must be a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158.
No relocation is being offered for this role. This position can be based remotely as long as you live within 100 miles of Charlotte, NC, Raleigh, NC, Greenville, SC, Spartanburg, SC or El Paso, TX. Active Duty Military Service member candidates are exempt from the geographical area.

Nice To Haves

Bachelor’s degree in Manufacturing or Industrial Engineering from an accredited institution.
Minimum of five (3) years post-degree professional experience in a technical role supporting manufacturing processes or other related engineering functions.
Experience with manufacturing process data analytics.
Previous Lean and/or Six Sigma certification, with demonstrated results.
Experienced communication and presentation skills – Demonstrate the ability to communicate effectively with all levels of the organization from production associates to corporate leaders.

Responsibilities

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