Process Engineer: Lean Improvement & Automation Focus

Walmart

Williamsburg (VA)

On-site

USD 80,000 - 120,000

Full time

6 days ago
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Benefits offered by this job

Health benefits
401(k)
Stock purchase plan
Paid time off
Education benefits

Job summary

Walmart Supply Chain is seeking a Process Engineer in Williamsburg, VA to analyze and improve distribution processes using engineering fundamentals, data, and problem-solving. You will work with operations leaders to identify opportunities, document standard work, and support automation initiatives on a scalable basis.

In this early-career role, you’ll apply lean methods, conduct time studies, and leverage data visualization tools to drive operational excellence across the network.

Qualifications

  • Bachelor’s degree in Industrial Engineering or related field.
  • 0–3 years in engineering, manufacturing, distribution, and/or supply chain (intern/co-op preferred).
  • Working knowledge of Lean, Six Sigma, Continuous Improvement, and statistical analysis.
  • Experience with process mapping and statistical tools (e.g., Minitab).
  • Strong Excel skills and exposure to data visualization tools (Power BI, Tableau, etc.).

Responsibilities

  • Partner with operations leaders to understand constraints and recommend process improvements.
  • Conduct time studies, work measurement, and process observations to identify opportunities.
  • Analyze operational data using statistical and analytical tools to support decisions.
  • Build process maps, standard work documentation, and operational performance reports.
  • Support implementation and validation of automation and continuous improvement initiatives.

Skills

Lean Six Sigma
Analytical skills

Education

Bachelor’s degree in Industrial Engineering

Tools

Minitab
Excel
Power BI
Tableau

Job description

Walmart Supply Chain is seeking a Process Engineer in Williamsburg, VA to analyze and improve distribution processes using engineering fundamentals, data, and problem-solving. You will work with operations leaders to identify opportunities, document standard work, and support automation initiatives on a scalable basis.

In this early-career role, you’ll apply lean methods, conduct time studies, and leverage data visualization tools to drive operational excellence across the network.

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