Quality Engineer (associate or Experienced)

Boeing Boeing · Aerospace · Berkeley, MO

Quality Engineer role focused on data analytics within Boeing Defense, Space & Security. Responsibilities include analyzing data, developing quality metrics, supporting supplier selection, and ensuring compliance with quality and regulatory requirements. The role involves working with cross-functional teams and stakeholders to improve processes and product quality.

What you'd actually do

  1. Research contractual and Boeing Quality Management System requirements for applicability to specific proposals and program processes and documentation.
  2. Develop sections of quality metrics, design and production certification plans to ensure compliance with contractual, Company and regulatory requirements.
  3. Analyzes capability assessments to support supplier selection activities.
  4. Participates in various reviews to ensure quality attributes are incorporated into product designs.
  5. Perform data analysis to ensure manufacturing and test readiness.

Skills

Required

  • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
  • 1+ year of experience in Aerospace, Manufacturing, Quality, or experience in a regulated industry
  • 1+ year of experience collecting, organizing and analyzing data; summarizing findings; and developing conclusions

Nice to have

  • Experience in business intelligence or data warehousing development
  • Experience in applying machine learning approaches to large data sets
  • Experience developing root cause corrective actions
  • Certified in Six Sigma / Lean Principles
  • Various ASQ certification (i.e. SPC implementation, data analysis, etc.)
  • Certified Analytics Professional
  • Experience developing data visualization tools (e.g. Tableau or similar)
  • Knowledge of BI & analytic tools such as Tableau, Power BI and the platforms that support them
  • Experience managing large data sets, including SQL, eCommerce platforms, and data science methods

What the JD emphasized

  • regulatory requirements
  • data analysis
  • quality metrics
  • non-conformances
  • corrective actions