Time Study Engineer Jobs in North Carolina (NOW HIRING)

Eaton's Corporate Sector is currently seeking a Manufacturing/Industrial Engineer focused on Capacity & Time Study to join our team. This is a remote based position with expected travel of 75%. All candidates must currently reside within 100 miles of Charlotte, NC, Raleigh, NC, Greenville, SC, Spartanburg, SC or El Paso, TX to be considered.
The Manufacturing/Industrial Engineer will support manufacturing operations through cycle time data collection, analysis, and capacity modeling. This is an excellent opportunity for early-career engineers to gain hands-on experience on the shop floor while contributing directly to productivity improvements and operational planning.
The selected candidates will work closely with manufacturing, operations, and engineering teams to establish accurate labor standards and production capacity models.
The expected annual salary range for this role is $86000 - $126000 a year.
Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.
What you'll do:
• 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.
Qualifications:
Required (Basic) Qualifications:
• 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.
Preferred Qualifications:
• 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.
Additional Information:
• Significant travel required (50-75%)
• Significant time spent on the shop floor collecting data
• May require standing, walking, and observing operations for extended periods
• Collaborative, fast-paced manufacturing environment.
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We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.