DuPont

DuPont

Quality Engineer

Newark, Delaware · Contract

Sponsorship not specifiedDetected 21 days ago
Data AnalysisAuditingProcess ImprovementGD&TCommunicationProblem Solving

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 continuous improvement by utilizing statistical tools to identify problems with the manufacture, supply, and inspection of Vespel® products
  • Lead resolution of supplier and customer quality issues in a timely manner and implement effective corrective and preventive actions
  • Coordinate the disposition of parts routed through the Material Review Board (MRB) and lead programs to reduce the number of non-conforming parts

Requirements

  • Bachelors (or higher) degree in Mechanical or Chemical Engineering discipline
  • Effective verbal and written communication skills with the ability to interact with a range of personnel
  • Demonstrated experience in quality auditing, data analysis and use of statistical process control
  • Demonstrated experience using Root Cause Analysis to resolve problems
  • Excellent problem-solving skills

Nice to have

  • Advance Product Quality Planning (APQP)
  • Process Failure Mode Effect Analysis (PFMEA)
  • Production Part Approval Process (PPAP)
  • Knowledge and experience with ISO17025 Quality system
  • ASQ-Quality Engineer Certification (preferred)
  • Six Sigma Green Belt (or higher) Certification (preferred)
  • Supplier Quality Engineering experience
  • Interface with customer on quality and technical issues

Compensation

  • To learn more visit the Compensation and Benefits page.

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