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.

The Boeing Company is currently seeking a Senior Data Programmer Analyst to join the team in Seattle, WA; Kent, WA; Renton, WA; or Everett, WA.

We are seeking a highly experienced, detail-oriented individual to lead the design and implementation of our enterprise data infrastructure within a high-precision airplane engineering, manufacturing, and supply chain environment.

This hands-on role requires proven cloud, Amazon Web Services (AWS) experience, modern ingestion and curation tooling, and a strong background in data architecture, integration, and platform modernization.

You will ensure the integrity, scalability, and security of data systems that enable engineering, production, supply chain, and compliance workflows.

Position Responsibilities:Serve as the Lead Data Programmer Analyst and technical owner for data platform initiatives Build and maintain strong partnerships with business stakeholders to deepen domain knowledge and align data solutions with strategic needs Design and implement data ingestion patterns and pipelines to migrate and integrate on-premise sources (Oracle, Teradata) to cloud-based platforms (AWS)Build and operate modern cloud-based ingestion tools and frameworks (Databricks, Snowflake, or equivalents)Define and maintain data architecture, lineage, and platform documentation Curate and structure data for business usage and self-service analytics Leverage cloud Artificial Intelligence/Machine Learning (AI/ML) marketplaces and services to enable advanced analytics and model deployment Map, document, and analyze current application architectures, ingestion patterns, data flows, and platform constraints to drive a clear modernization roadmap Design conceptual, logical, and physical data models tailored to manufacturing, engineering, and PLM (product lifecycle management) systems Lead integration of diverse data sources including IoT/factory equipment telemetry, Enterprise Resource Planning (ERP) systems (e.g., SAP), and Computer-Aided Design/Product Lifecycle Management (CAD/PLM) tools (e.g., Siemens Teamcenter, CATIA)Oversee end-to-end data integration and Extract, Transform, Load/ Extract Load, Transform (ETL/ELT) processes across heterogeneous sources Promote and operationalize modern platform practices including infrastructure-as-code, pipeline observability, metadata/cataloging, data contracts and versioning, and policy-as-code Automate access provisioning, ingestion pipelines, testing, Continuous Integration/Continuous Delivery (CI/CD), and deployment to reduce manual work and accelerate safe delivery Collaborate closely with business stakeholders to understand data needs and deliver actionable insights Mentor engineers and guide best practices for secure, scalable, maintainable data engineering Basic Qualifications (Required Skills/Experience):5+ years of experience as a Developer3+ years of experience with cloud (AWS) and modern ingestion tools (Databricks, Snowflake, or similar)Experience with data warehousing and cloud/on-prem platforms such as Oracle, Teradata, Redshift, and AWS services Experience in data processing with Python and Py Spark Experience with ETL/ELT patterns, data integration techniques, and data modeling Experience with Linux operating systems and shell scripting Experience with infrastructure-as-code (e.g., Terraform, CloudFormation), CI/CD pipelines, and automated testing for data pipelines Experience communicating with stakeholders and cross-functional teams Preferred Qualifications (Desired Skills/Experience):Bachelor’s degree or higher Experience in manufacturing or aerospace Experience with Oracle, Teradata, SQL Server Experience with AWS RedshiftExperience with data governance, cataloging tools, and data contract/versioning frameworks Experience implementing observability for data pipelines and datasets Conflict of Interest:Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

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.

Pay & Benefits: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: $141,950 – $192,050
Applications for this position will be accepted until Mar. 09, 2026
Export Control Requirements: This position must meet U.S. export control compliance requirements.

To meet U.S. export control compliance requirements, a “U.S.

Person” as defined by 22 C.F.R. §120.62 is required. “U.S.

Person” includes U.S.

Citizen, U.S.

National, lawful permanent resident, refugee, or asylee.

Export Control Details: US based job, US Person required Relocation Relocation assistance is not a negotiable benefit for this position.

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.