Quality Engineer II: CAPA, Audits & SPC Expert

Honeywell; Northford (CT); On-site; USD 77,000 - 97,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) match

Flexible Spending Accounts

Educational Assistance

Paid Time Off

Paid Holidays

Job summary

Honeywell in the United States is seeking a Quality Engineer II to help ensure product and process quality through QA, audits, and CAPA execution, reinforcing compliance and customer satisfaction.

You will lead root cause analyses with cross-functional teams, apply SPC to monitor processes, and support continuous improvement in manufacturing environments. This role emphasizes collaboration, data-driven problem solving, and delivering reliable quality outcomes.

Qualifications

• 2+ years of experience in quality engineering or related roles.
• Strong knowledge of ISO 9001 and FDA regulations.
• Proficiency in SPC, root cause analysis, and quality documentation.
• Experience with supplier quality management.

Responsibilities

• Lead and execute quality assurance activities including audits, inspections, and process validations to ensure compliance with internal and external standards.
• Develop and implement CAPA by conducting thorough root cause analysis and collaborating with stakeholders to prevent recurrence of quality issues.
• Utilize Statistical Process Control (SPC) and other quality tools to monitor manufacturing processes and drive continuous improvement initiatives.

Skills

Quality Assurance

Auditing

CAPA

SPC

Root Cause Analysis

Quality Documentation

Education

Master's degree in Engineering

Job description

Honeywell in the United States is seeking a Quality Engineer II to help ensure product and process quality through QA, audits, and CAPA execution, reinforcing compliance and customer satisfaction.

You will lead root cause analyses with cross-functional teams, apply SPC to monitor processes, and support continuous improvement in manufacturing environments. This role emphasizes collaboration, data-driven problem solving, and delivering reliable quality outcomes.