Quality Improvement Engineer (ONSITE)(No C2C/H1B)

Overview

On Site
Depends on Experience
Contract - W2
Contract - 5 Month(s)

Skills

Statistical analysis
Minitab
statistical sampling
Lean
Lean Six Sigma
Six Sigma Green Belt
Six Sigma Black Belt
Certified Quality Engineer
Demand Flow Technology
equipment qualification
test method validation
project management
engineering change orders
change projects
continuous quality improvement
video time studies
value stream mapping
raw material receipt
product release
laboratory test equipment
test technology
sample size determination
justification
quality improvement projects
LSS tools
capital investment planning.

Job Details

Please note that this is a 5-month contract position with possibility to extend.

No C2C/H1B

Competencies and experience with the following are desirable:

  • Statistical and Minitab experience is highly desirable

  • Statistical Sampling Experience is highly desirable

  • Lean and or Lean Six Sigma Certification

  • Green Belt and or Black Belt Certifications

  • Certified Quality Engineer

  • Demand Flow Technology Training/ Certification

  • Equipment Qualification Experience

  • Test Method Validation Experience

  • Project Management Certification or Experience

  • Experience with Engineering Change Orders/ Change Projects

Continuous Quality Improvement Engineer

The Continuous Quality Improvement Engineer will perform video time studies to baseline the material testing value stream (VS). These testing VS maps will include product testing details from Raw Material Receipt to Product Release from the Georgia Campus, and as needed; also include Finished Good testing sites.

The Continuous Quality Improvement Engineer will identify improvement projects from these VS maps that will utilize LSS and Demand Flow tools and Technologies to implement continuous improvement. Projects may also identify the need for capital investment of new laboratory test equipment and technology that would need to be qualified under equipment qualification and test method validation guidelines.

Strong focus on statistical sample size determination and justification

Applicants must provide their phone number. Reference job number is A4907

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.