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# Quality Systems Engineer

- **Company:** ENTEGEE, Inc.
- **Location:** Dayton, IN, United States
- **Experience:** Experienced
- **Salary:** $75,000.0 - $95,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Statistical Process Control (SPC), Data Analytics, Ishikawa
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8d4edf0531d3703c

## About the Role

· Bachelor's degree in Quality Engineering, Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, or a closely related technical discipline.

· 4+ years of Quality Engineering experience within a manufacturing environment.

· Professional experience working with automotive quality systems and manufacturing processes.

· Strong practical knowledge of:

IATF 16949

Quality Management Systems (QMS)

Customer Quality Management

Root Cause Analysis (RCA)

Corrective and Preventive Action (CAPA)

8D Problem Solving

5 Why Analysis

Fishbone/Ishikawa Analysis

Statistical Process Control (SPC)

Measurement System Analysis (MSA)

Process Capability / Cp / Cpk

Continuous Improvement

Quality Data Analysis

## Description

· Own and coordinate responses to customer complaints, warranty concerns, product returns, nonconformances, and customer quality issues from initial investigation through final resolution.

· Lead structured problem-solving activities using 8D, 5 Why, Fishbone/Ishikawa, Root Cause Analysis (RCA), and other quality methodologies.

· Identify systemic causes of defects and implement sustainable Corrective and Preventive Actions (CAPA).

· Establish containment, corrective action, and verification plans while monitoring results to confirm long-term effectiveness.

· Partner with production, manufacturing engineering, design engineering, suppliers, and customers to resolve product and process quality concerns.

· Analyze manufacturing and quality data to identify trends, recurring issues, process variation, and opportunities for improvement.

· Drive initiatives are designed to reduce scrap, rework, defects, customer escapes, warranty issues, and Cost of Poor Quality (COPQ).

· Apply statistical methods and quality tools to support data-driven manufacturing and engineering decisions.

· Conduct and support Statistical Process Control (SPC), Measurement System Analysis (MSA), process capability analysis, Cp/Cpk studies, and Design of Experiments (DOE).

· Monitor process performance and recommend improvements that increase stability, capability, productivity, and product conformity.

· Support the development, maintenance, and effectiveness of the organization's Quality Management System (QMS).

· Collaborate with cross-functional teams to improve process controls, manufacturing performance, product quality, and customer satisfaction.

· Promote a culture of continuous improvement, defect prevention, problem solving, and quality ownership throughout the manufacturing organization.


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