Aerospace Quality Engineer - Lead QMS & Process Improvement

Sonaca North America; Washington (District of Columbia); On-site; USD 95,000 - 130,000; Full time

Job summary

Sonaca North America seeks a Quality Engineer to interpret customer requirements, engineering drawings, and data sets to ensure QMS compliance and proper implementation across the organization. The QE supports our quality policy, continuous improvement, and total customer satisfaction on site in Washington, DC area

The role emphasizes design review participation, FAI planning, audits, and collaboration with cross-functional teams to drive quality improvements and data-driven decision making.

Qualifications

• Bachelor's degree in engineering, quality, or science; with 5+ years of aerospace Quality Engineering experience preferred.
• Knowledge of Aerospace industry and AS9100/AS9000 standards is preferred.
• Experience with CATIA and CAD data, plus familiarity with digital product definition.
• Audit experience and experience with quality systems and SPC tools are expected.

Responsibilities

• Interpret customer contracts, drawings, data sets, and specifications to ensure QMS compliance.
• Interface with customers for quality issues and audit support.
• Develop and maintain Quality Assurance Plans and procedures; support continuous improvement.
• Lead and participate in SCT/IPT activities and root-cause investigations.

Skills

Quality Engineering

Aerospace industry knowledge

CATIA

Root cause analysis

MS Office

Education

Bachelor's degree in engineering/quality/science

Tools

FAI

Job description

Sonaca North America seeks a Quality Engineer to interpret customer requirements, engineering drawings, and data sets to ensure QMS compliance and proper implementation across the organization. The QE supports our quality policy, continuous improvement, and total customer satisfaction on site in Washington, DC area

The role emphasizes design review participation, FAI planning, audits, and collaboration with cross-functional teams to drive quality improvements and data-driven decision making.