Quality Engineer

Job description

Quality Engineer 
Cleveland, OH 
$50/HR  
Overview of the Quality Engineer Role 
The Quality Engineer plays a vital role in crafting, executing, and overseeing quality strategies and specifications for both new and current products. This position autonomously employs quality engineering methodologies to guarantee the integrity of products and processes, leads projects of moderate to significant scale, and champions continual improvement efforts across manufacturing operations and interdisciplinary teams. 
Key Responsibilities of the Quality Engineer 

• Design and execute plans for product quality assurance and process control.
• Examine statistical capability data (such as SPC, MSA, Gauge R&R) and implement corrective measures as necessary.
• Oversee validation processes for new product initiatives, which includes designing measurement systems and conducting capability studies.
• Perform internal audits and assist with supplier qualification processes (including Ship-to-Stock certifications).
• Lead efforts to enhance processes that minimize the risk of external quality failures.
• Facilitate and engage in Product Quality Planning (PQP) sessions and mentor team members on quality methodologies.
• Assess and sanction quality records, testing protocols, and engineering schematics.
• Review nonconforming materials and oversee the implementation of effective corrective actions.
• Conduct reliability assessments (including Weibull analysis) and address customer capability inquiries.
• Provide updates on project progress and collaborate with Manufacturing, Engineering, and Service departments.

Qualifications for the Quality Engineer Position 

• Bachelor’s degree in Engineering or a field related to Quality.
• Familiarity with quality planning, control strategies, and statistical analysis methods.
• Proven capability in managing multiple projects and resolving complex issues independently.
• Excellent communication, presentation, and facilitation abilities.
• Strong skills in data analysis and statistical process control methodologies.
• Experience in manufacturing environments.