Senior Data Engineer

Boeing•Tukwila, WA

19h•$153,000 - $249,550

About The Position

Senior Data Engineer Company: The Boeing Company The Boeing Company is currently seeking a Senior Data Engineer (Data Solutions Architect) to join the Finance Systems and Analytics (FS&A) team in Tukwila, WA. The selected candidate will design, develop, and maintain advanced analytics solutions that deliver step-function business improvement. As the Data Engineering Subject Matter Expert (SME) on the Finance Analytics full‑stack Development team, you will partner with Base Data Architects to harmonize finance data sources and build the data foundation needed by Data Scientists and Business Intelligence (BI) Engineers to deliver analytics solutions across Finance. Position Responsibilities: Build and operate production data pipelines, Extract Transform Load (ETL)/Extract Load Transform (ELT) processes, and data platforms that support analytics and Machine Learning (ML) workloads Design, implement, and optimize reliable, scalable data architectures (data lakes, warehouses, lakehouses) and data modeling patterns for business consumption Build robust ingestion, transformation, and orchestration solutions using tools such as Spark, SQL, Airflow, Bash, or equivalents Possess domain knowledge in Finance (e.g., Earned Value Management (EVM), accounting, treasury, reconciliation, payments, Financial Planning and Analysis (FP&A)) or equivalent business-facing experience to partner effectively with Finance SMEs Ensure data quality, governance, lineage, and cataloging to support auditability and regulatory requirements (e.g., SOX) Implement security, privacy, and data protection best practices for sensitive financial data, including access controls and encryption Apply observability and monitoring best practices (logging, metrics, alerts) and use Continuous Integration and Continuous Delivery (CI/CD) for data infrastructure and pipeline deployments Work effectively in collaborative analytics environments using modern analytics practices (code reviews, feature branches, agile delivery) and provide technical leadership across cross-functional teams Basic Qualifications (Required Skills/Experience): Bachelor’s Degree or higher in Computer Science, Engineering, Information Systems, or a related quantitative/technical field, or equivalent practical experience 5+ years of experience designing, building, and operating production data pipelines, ETL/ELT workflows, and data platforms supporting analytics and ML workloads Experience with SQL and querying relational and cloud data warehouses (e.g., SQL Server, Oracle, Teradata, BigQuery) Experience with at least one programming language used for data engineering (e.g., Python, Scala, Java) and experience with Spark or equivalent distributed processing frameworks Experience with orchestration and workflow tools (e.g., Airflow, SQL, Bash) and authoring repeatable, testable transformations Experience with data modeling, schema design, and data architecture patterns for lakes, warehouses, or lakehouses Experience working with cloud platforms and managed data services (Amazon Web Services (AWS)/Google Cloud Platform (GCP)/Azure) and basic familiarity with containerization (Docker, Podman) Experience with version control and collaborative coding practices (Git, code reviews, branching) Preferred Qualifications (Desired Skills/Experience): 10+ years of related work experience or an equivalent combination of education and experience Experience with streaming and event-driven systems and real‑time ingestion patterns Experience with lakehouse technologies, object storage, and cloud native data services Familiarity with infrastructure such as code, automation tools and CI/CD for data infrastructure Experience with monitoring and observability for data systems (logging, metrics, alerting, lineage tools) Experience with security, privacy, and governance for sensitive financial data, including access controls, encryption, and SOX/compliance requirements Experience optimizing cost and performance for cloud data environments Experience in Finance domain (EVM, accounting, treasury, reconciliation, payments, FP&A) or working closely with Finance SMEs Ability to mentor and provide technical leadership across cross‑functional teams Master’s Degree or higher in a technical discipline or equivalent advanced experience 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 (DFW) 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 (Senior, Level 4): $153,000 – $207,000 Summary pay range (Senior, Level 5): $184,450 – $249,550 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: 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. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning 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. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish) You can do work that enables all of humanity to take flight. Our teammates in more than 65 countries grow their careers across commercial airplanes, space, defense, sustainability and other areas. Here, you can contribute to what matters most in your career, in your community and around the world. Find answers to questions about applying, interviews, benefits, and more on FAQ page Boeing is committed to providing reasonable accommodations/adjustments to applicants with disabilities. Visit our accommodations page for more info.

Requirements

Bachelor’s Degree or higher in Computer Science, Engineering, Information Systems, or a related quantitative/technical field, or equivalent practical experience
5+ years of experience designing, building, and operating production data pipelines, ETL/ELT workflows, and data platforms supporting analytics and ML workloads
Experience with SQL and querying relational and cloud data warehouses (e.g., SQL Server, Oracle, Teradata, BigQuery)
Experience with at least one programming language used for data engineering (e.g., Python, Scala, Java) and experience with Spark or equivalent distributed processing frameworks
Experience with orchestration and workflow tools (e.g., Airflow, SQL, Bash) and authoring repeatable, testable transformations
Experience with data modeling, schema design, and data architecture patterns for lakes, warehouses, or lakehouses
Experience working with cloud platforms and managed data services (Amazon Web Services (AWS)/Google Cloud Platform (GCP)/Azure) and basic familiarity with containerization (Docker, Podman)
Experience with version control and collaborative coding practices (Git, code reviews, branching)

Nice To Haves

10+ years of related work experience or an equivalent combination of education and experience
Experience with streaming and event-driven systems and real‑time ingestion patterns
Experience with lakehouse technologies, object storage, and cloud native data services
Familiarity with infrastructure such as code, automation tools and CI/CD for data infrastructure
Experience with monitoring and observability for data systems (logging, metrics, alerting, lineage tools)
Experience with security, privacy, and governance for sensitive financial data, including access controls, encryption, and SOX/compliance requirements
Experience optimizing cost and performance for cloud data environments
Experience in Finance domain (EVM, accounting, treasury, reconciliation, payments, FP&A) or working closely with Finance SMEs
Ability to mentor and provide technical leadership across cross‑functional teams
Master’s Degree or higher in a technical discipline or equivalent advanced experience

Responsibilities

Build and operate production data pipelines, Extract Transform Load (ETL)/Extract Load Transform (ELT) processes, and data platforms that support analytics and Machine Learning (ML) workloads
Design, implement, and optimize reliable, scalable data architectures (data lakes, warehouses, lakehouses) and data modeling patterns for business consumption
Build robust ingestion, transformation, and orchestration solutions using tools such as Spark, SQL, Airflow, Bash, or equivalents
Possess domain knowledge in Finance (e.g., Earned Value Management (EVM), accounting, treasury, reconciliation, payments, Financial Planning and Analysis (FP&A)) or equivalent business-facing experience to partner effectively with Finance SMEs
Ensure data quality, governance, lineage, and cataloging to support auditability and regulatory requirements (e.g., SOX)
Implement security, privacy, and data protection best practices for sensitive financial data, including access controls and encryption
Apply observability and monitoring best practices (logging, metrics, alerts) and use Continuous Integration and Continuous Delivery (CI/CD) for data infrastructure and pipeline deployments
Work effectively in collaborative analytics environments using modern analytics practices (code reviews, feature branches, agile delivery) and provide technical leadership across cross-functional teams