Senior ETL Developer and Data Specialist

BoeingSeattle, WA
2dOnsite

About The Position

The Boeing Company’s Talent Analytics and Innovations team is currently seeking a Senior ETL Developer and Data Specialist to join our team in Seattle, WA. The Extract-Transform-Load (ETL) Developer and Data Specialist designs, builds, and maintains ETL/ELT pipelines, data infrastructure, and analytics-ready datasets to support business intelligence, analytics, and graph-enabled use cases. This role will work closely with analytics, data science, data governance, and business stakeholders to deliver reliable, performant, and well-governed data solutions using Alteryx, Teradata, Neo4j, and Tableau.

Requirements

  • 3+ years of hands-on ETL/data engineering experience building production data pipelines
  • Experience with Alteryx for building ETL flows, macros, and automation
  • Experience with Teradata development and performance tuning (SQL, utilities, load strategies)
  • Experience building and querying Neo4j graph databases and modeling graph relationships for analytics
  • Experience developing Tableau dashboards and supporting extracts, data sources, and visualization best practices.

Nice To Haves

  • Certifications: Alteryx Designer Advanced, Teradata certification, Neo4j Certified Professional, Tableau Desktop/Server Certified Associate (or similar)
  • Experience with cloud data services and hybrid architectures (cloud connectors to Teradata, Neo4j Aura, S3/ADLS integrations)
  • Experience with CI/CD for data pipelines, containerization (Docker), and orchestration frameworks
  • Advanced SQL skills and deep familiarity with Teradata SQL dialect and performance considerations.
  • Alteryx Designer/Server experience: workflow design, macro development, scheduling, and debugging
  • Neo4j: data modeling (nodes/relationships), Cypher query language, import/migration patterns, and indexing strategies
  • Tableau Desktop/Server or Tableau Cloud: data source design, LODs, performance optimization, and dashboard design
  • Experience with ETL orchestration and scheduling tools (Alteryx Server, Airflow, Control-M, etc.)
  • Experience with CDC, incremental loads, and data partitioning/archival approaches
  • Scripting and automation skills (Python, Bash, or similar) for orchestration, transformations, and utilities
  • Experience with data quality tools/processes and metadata/catalog tools (or willingness to integrate them)
  • Experience with security and privacy best practices for PII/HR data: role-based access, encryption, masking

Responsibilities

  • Design, develop, test, and operate ETL/ELT workflows and data integrations using Alteryx and other orchestration tools
  • Build and maintain scalable data pipelines to ingest, transform, and load data into Teradata (and other data warehouses/lakes) with strong focus on performance and resource optimization
  • Model, implement, and maintain graph data models and pipelines using Neo4j to support relationship-centric analytics and discovery
  • Collaborate with analysts and Business Intelligence (BI) teams to create certified, analytics-ready datasets and semantic layers consumed by Tableau dashboards and reports
  • Implement data quality checks, validation rules, reconciliation processes, and monitoring/alerting for ETL jobs and data products
  • Profile source systems, document data lineage, and maintain metadata in coordination with Data Stewards and governance teams
  • Optimize SQL and Teradata-specific constructs (e.g., statistics, join strategies, VPROC considerations) for high-volume ETL and query performance
  • Support incremental and change-data-capture (CDC) patterns; implement effective partitioning and archiving strategies
  • Create technical documentation, runbooks, deployment artifacts, and handoffs for operational support
  • Participate in sprint planning, code reviews, and CI/CD processes; implement infrastructure-as-code or automated deployment where applicable
  • Troubleshoot production incidents, perform root cause analysis, and drive corrective actions to reduce recurrence
  • Mentor junior engineers and contribute to best practices for data engineering, modeling, and visualization

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.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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