DuPont

DuPont

Lead Production Engineer

Joliet, Illinois

Sponsorship not specifiedDetected 26 days ago
Data AnalysisSupply ChainProcess ImprovementPLCElectrical EngineeringLeadershipCommunicationCollaborationProblem SolvingLean Manufacturing

About the role

  • At DuPont, our purpose is to empower the world with essential innovations to thrive.
  • Whether it's providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world.
  • Discover the many reasons the world's most talented people are choosing to work at DuPont.

Responsibilities

  • Drive Safe & Reliable Operations
  • Serve as a technical expert during unplanned events and drive corrective and preventive actions.
  • Maintain a strong field presence and reinforce safe operating practices and procedures.
  • Optimize Plant Performance
  • Drive initiatives that improve throughput, quality, reliability, yield, and overall asset utilization.
  • Support raw material efficiency efforts and reduce waste generation.
  • Lead Continuous Improvement
  • Diagnose root causes of operational losses and implement sustainable solutions.
  • Partner with manufacturing, maintenance, and technical teams to improve operating discipline and performance.
  • Collaborate Across the Business

Requirements

  • 2-5 years of manufacturing, process engineering, or related industrial experience

Nice to have

  • Experience in Process Safety Management (PSM) environments
  • Experience with:
  • Process controls and PLC systems
  • Equipment start-up and commissioning
  • Data analysis and performance monitoring
  • Six Sigma Green Belt certification
  • Continuous Improvement or Lean Manufacturing experience
  • What Success Looks Like

Compensation

  • To learn more visit the Compensation and Benefits page.

Company info

  • At DuPont, we work on things that matter.

This listing is sourced directly from DuPont's careers page and normalized into a canonical job model.