Quality Process Engineer — Yield, CAPA & Compliance

Actalent; United States; On-site; USD 55,104 - 57,859; Full time

Job summary

Actalent in Wheaton, IL seeks a Process Quality Engineer for a contract role focused on leading root-cause analysis, improving yield, and ensuring conformity to ISO 9001 and IATF 16949.

You will collaborate with Engineering, Manufacturing and Operations to drive continuous improvement, review change requests, and support product and process qualifications. Bachelor’s degree in Engineering and experience in manufacturing are required; familiarity with statistical tools preferred.

Qualifications

• Bachelor's Degree in Engineering required.
• Familiarity with ISO-9001 & IATF-16949 quality systems standards.
• 1+ years’ experience working in manufacturing.
• Working knowledge of statistical software such as Minitab, Infinity, JMP, or equivalent systems.
• Working knowledge of Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Project).
• Working knowledge of TQ tools (Brainstorming, Flowcharting, Ishikawa, Affinity Diagrams).
• Demonstrated knowledge of SPC, DOE, ANOVA, f & t-test analyses, and GR&R.
• Fully versed in process capability studies.

Responsibilities

• Lead root-cause investigations using 8D methodology.
• Support yield improvement and process capability studies.
• Audit product/process conformance to specifications.
• Collaborate with Engineering, Manufacturing and Operations to drive continuous improvement.

Skills

Data analysis

Cp/Cpk reports

Education

Bachelor's Degree in Engineering

ISO/IATF knowledge

1+ years manufacturing experience

Tools

Minitab

Infinity

JMP

Job description

Actalent in Wheaton, IL seeks a Process Quality Engineer for a contract role focused on leading root-cause analysis, improving yield, and ensuring conformity to ISO 9001 and IATF 16949.

You will collaborate with Engineering, Manufacturing and Operations to drive continuous improvement, review change requests, and support product and process qualifications. Bachelor’s degree in Engineering and experience in manufacturing are required; familiarity with statistical tools preferred.