Hybrid Senior Data Programmer Analyst

at Boeing

• Job title: Senior Data Programmer Analyst
• Job type: Full Time
• Experience level: Senior
• Salary: $141,950 - $192,050 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Amazon Redshift, AWS, Cloud, ERP, ETL, IoT, Linux, Oracle, PySpark, Python, Shell Scripting, Terraform
• Location requirements: Hybrid, Seattle, United States

About the role

• Senior Data Programmer Analyst leading data initiatives in Boeing's engineering and manufacturing sectors. Focused on cloud data integration and analytics for an enterprise data infrastructure.

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

Requirements

• 5+ years of experience as a Developer
• 3+ 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 PySpark
• 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

Benefits

• Health insurance
• Flexible spending accounts
• Health savings accounts
• Retirement savings plans
• Life and disability insurance programs
• Paid time off