Quality Engineer — Data-Driven Process Improvement

Spectrum Control; Ann Arbor (MI); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

PTO from day 1

4/10 work schedule

Job summary

Spectrum Control in Ann Arbor, MI, is seeking a Quality Engineer to support product and process quality, compliance, and customer satisfaction. This role provides technical support across Quality, Engineering, Manufacturing, and Purchasing, using data-driven methods such as SPC to identify and resolve issues.

The engineer will help ensure contract requirements are met and will contribute to quality system effectiveness, internal audits, corrective actions, and continuous improvement initiatives

Qualifications

• Bachelor's degree in Engineering, Mathematics, Statistics, Quality, or a related technical discipline.

Responsibilities

• Provide technical support to Quality, Engineering, and Manufacturing on inspection and sampling plans.
• Develop and improve inspection systems using SPC and data analysis.
• Support quality systems development, auditing, and corrective actions.
• Lead root cause analyses and document corrective actions (8D, 5-Why, A-3).
• Analyze quality data to identify risk reduction and process improvements.
• Collaborate with Engineering and Manufacturing to control processes and address variation.

Skills

SPC/data analysis

Root cause analysis

Cross-functional collaboration

Quality systems

Problem solving

Education

Bachelor's degree in Engineering, Mathematics, Statistics, Quality, or related technical discipline

Tools

8D / 5-Why / A-3 methods

Auditing

Job description

Spectrum Control in Ann Arbor, MI, is seeking a Quality Engineer to support product and process quality, compliance, and customer satisfaction. This role provides technical support across Quality, Engineering, Manufacturing, and Purchasing, using data-driven methods such as SPC to identify and resolve issues.

The engineer will help ensure contract requirements are met and will contribute to quality system effectiveness, internal audits, corrective actions, and continuous improvement initiatives