Flight Data Engineer

Job Description
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.
We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld
Boeing Seattle is seeking a Flight Data Engineer in Seattle, Washington to automate flight data translations within the Boeing Global Services, reporting to the Manager of Prognostics Development working out of the Seattle, WA office.
The Flight Data Translation Engineer will be responsible for the delivery of cutting-edge flight data analytics products to commercial aviation customers. As part of an integrated product team, the successful candidate will be part of a technical team supporting product feature development and life support. In this role, the Flight Data Translation Engineer will work with a team of highly motivated aviation SMEs, software architects, developers, and data scientists. This role will work with portfolio leadership, development teams and stakeholders to establish and drive the implementation of flight data management for the success of each product and initiative.
Position Responsibilities:

• Leverage the power of data and engagement insights to drive advancements in flight safety, fleet reliability and sustainability, while executing on the Boeing Flight Data Analytics value and vision
• Collaborate closely with engineering, DevOps, product management, and airline customers in an agile environment
• Ensure high quality aviation domain data is available for advanced aviation data insights that benefit both our internal teams and customers
• Gain a deep understanding of our customers, their flight operations, and their analytics needs; you will play a pivotal role in finding innovative solutions to meet their evolving needs
• Configure, test and validate aircraft safety, maintenance, sustainability and reliability data models for use in product development, and create high quality documentation required to support these tasks
• Define and validate experiments using Machine Learning, as assigned by Lead Data Architect, or Product Management
• Ensure data integrity across the entire data pipeline by leveraging expert-level knowledge of ARINC 717, 767 and other protocols, as applied to different aircraft types, including Boeing and Airbus
• Proactively identify and troubleshoot data integrity issues to ensure products are providing an exceptional customer experience
• Employ expertise in database and schema design, anticipating the data questions and data narratives that stakeholders may require
• Perform hands-on technical work, including working with data, building utilities and tooling, and providing flight data and integrated dataset support to both the product team and customers
• Work closely with the lead data architect and product managers to strategically shape the future direction of our analytics product
• Undertake other tasks, projects, and initiatives as needed

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent
• 1+ years of progressive experience in software development and design
• Experienced working with aerospace systems ARINC standards (ARINC 717, 767)
• 9+ years of related work experience or an equivalent combination of technical education and experience

Preferred Qualifications (Education/Experience):

• Working experience with cloud solutions Experience with programming, eg java or python, SQL
• Experience in data science and/or data analytics Advanced experience in business intelligence tools, statistics and data modelling
• Experience working in a global technology organization and managing many stakeholders
• Experience with airline safety, airline maintenance engineering, avionics or aircraft flight data recording
• Experience with Airbus and Boeing aircraft operations

Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Total Rewards and Pay Transparency:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range:
Expert $146,200 - $197,800
Applications for this position will be accepted until Feb. 24, 2026
Export Control Requirements:
This is not an Export Control position.
Education
Bachelor's Degree or Equivalent Required
Relocation
This position offers relocation based on candidate eligibility.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.