Senior Data Engineer

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 fullstack 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

BasicQualifications (Required Skills/Experience):

• Bachelors 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 realtime 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 crossfunctional teams

• Masters Degree or higher in a technical discipline or equivalent advanced experience

Conflict of Interest:

Successful candidates for this job must satisfy the Companys 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): $153000 $207000

Summary pay range (Senior Level 5): $184450 $249550

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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