Aerospace Quality Engineer – 2nd Shift, Onsite

Northrop Grumman; Baltimore (MD); On-site; USD 80,000 - 119,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

Savings plan

Company paid holidays

PTO

Job summary

Northrop Grumman Mission Systems Sector seeks a Quality Engineer/Principal Quality Engineer to join the Baltimore, MD team on a 2nd shift onsite basis. The role may be filled at Level 2 or 3, with responsibilities spanning quality systems, inspection processes, and cross-functional collaboration to uphold high standards.

Responsibilities include audits, corrective actions, and continuous improvements, leveraging data analytics and statistical methods.

Qualifications

• BS in STEM with minimum 2 years in QA or related engineering field.
• Experience with data analytics and statistical methods.
• Ability to obtain and maintain a US Government Secret Clearance.
• US Citizenship required.

Responsibilities

• Develop and maintain quality evaluation and control systems for processing materials.
• Collaborate with engineering and manufacturing to ensure quality standards.
• Design and implement inspection and testing processes to assess product quality.
• Lead quality audits and continuous improvement initiatives.
• Initiate corrective actions with suppliers and internal teams.
• Ensure documentation compliance with requirements.
• Lead cross-functional problem-solving efforts.

Skills

Data analytics

Statistical analysis

Quality assurance

Root cause analysis

Continuous improvement

Education

BS in STEM

MS in STEM

PhD in STEM

Tools

SAP

SQL

Tableau

Minitab

Excel

Job description

Northrop Grumman Mission Systems Sector seeks a Quality Engineer/Principal Quality Engineer to join the Baltimore, MD team on a 2nd shift onsite basis. The role may be filled at Level 2 or 3, with responsibilities spanning quality systems, inspection processes, and cross-functional collaboration to uphold high standards.

Responsibilities include audits, corrective actions, and continuous improvements, leveraging data analytics and statistical methods.