At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Do you thrive on solving complex problems, constantly seeking ways to improve and innovate? Are you naturally curious, eager to understand how things work, and driven to make them better? If you’re a collaborative, solutions-focused professional known for your creativity, adaptability, and positive mindset—we want you on our team.
Boeing’s Safety and Airworthiness organization is actively seeking a Mid-Level Data Science Engineer to join their Regulatory Administration and Airworthiness (RA&A) Team based in Everett, WA. In this role, you will be a valued member of the Regulatory Administration - System Oversight Team.
The ideal candidate is a self-starter who takes initiative and thrives in ambiguous situations. They are skilled at creating and maintaining efficient processes and can set a clear vision while defining a strategic roadmap. With strong collaboration skills, they work effectively with stakeholders across the organization to achieve results. This individual communicates well with business leaders, demonstrates excellent organizational, interpersonal, and problem-solving abilities, and approaches tasks with a strong work ethic and sense of urgency. Adaptability and the ability to prioritize effectively amid multiple demands and unexpected challenges are also key strengths.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

• 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
• 3+ years of experience as a Data Science Engineer or in a similar role
• Proficiency in programming languages such as Python, R and Java
• Experience with SQL and Data Warehousing
• Experience with ETL tools and frameworks (e.g., Apache Airflow)
• Experience with cloud technologies, including knowledge of Cloud Foundry and its deployment processes
• Knowledge of data modeling, data architecture, and data governance best practices
• Experience in business intelligence/data analytics tools (Microsoft Power BI, Tableau, etc.)
• Experience with CI/CD, Git practices

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):

• Master’s degree
• Knowledge of aerospace industry standards and practices
• Experience with Flask, Django, JavaScript, Bootstrap, HTML
• Familiarity with machine learning/AI concepts and tools
• Knowledge of text analysis

EDUCATION

Bachelor’s Degree or Equivalent Required

• Design, develop, and maintain robust data pipelines to collect, process, and store large volumes of data from various sources
• Optimize data storage and retrieval processes to ensure high performance and efficiency
• Implement data quality checks and monitoring to ensure data integrity and reliability
• Develop and maintain documentation for data processes, architectures, and workflows
• Collaborate with a diverse team of professionals from various disciplines (e.g. data scientists and analysts, System Engineers) to achieve project goals
• Engage in team discussions and brainstorming sessions to drive innovative solutions and enhance project outcomes
• Foster a positive team dynamic by being a supportive team player and contributing to group efforts