The Boeing Company
SeniorSoftwareDeveloper-DataEngineering-2
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“Senior Software Developer - Data Engineering-2 at The Boeing Company. Skills: Data Engineering, AWS GovCloud, Palantir Foundry. Drive vision and technical strategy. Accelerate build-out of data components”
What You'll Achieve.
Accelerate build-out of data components; Deliver on data needs; Deliver on ontology requirements; Ensure compliance with requirements; Align solutions with business goals; Optimize for performance; Optimize for scalability; Optimize for cost efficiency; Support analytics; Support reporting; Support operational use cases; Support governance; Support lineage; Support self-service discovery; Facilitate easier development; Facilitate reuse of data artifacts; Drive measurable impact; Enable digital thread; Enable model-based engineering; Ensure high-quality data; Ensure trusted data; Ensure reliability; Ensure continuous improvement; Ensure availability; Ensure security; Ensure efficiency
Industry & Context.
Data integration problems; Data migration problems
Export control compliance, U.S. Person required
What They're Looking For.
Must Have
5+ years software development, 5+ years SQL development
Nice to Have
AWS GovCloud experience, Palantir Foundry experience, Data lakehouse architecture experience, Data modeling experience, Metadata/tagging strategy experience, Security and regulatory compliance experience, Data integration experience, ETL experience, Data processing solutions experience, Data pipeline optimization experience, Data set curation experience, Semantic model experience, Data integration problems experience, Data migration problems experience, Data tagging experience, Data classification experience, Metadata strategies experience, Governance experience, Lineage experience, Self-service discovery experience, Data artifact reuse experience, High-performance data warehouses experience, Scalable data warehouses experience, Data lakehouse structures experience, On-premise data sources experience, Cloud sources experience, External data sourcing experience, Partner data sourcing experience, Dimensional data models experience, Normalized data models experience, Data vault data models experience, Data quality checks experience, Data monitoring experience, Validation rules experience, Anomaly detection experience, Reconciliation experience, Domain-related data pipelines experience, End-to-end data ecosystem ownership experience, Data ingestion experience, Data consumption experience, Data decommissioning experience, Infrastructure and DevOps collaboration experience, CI/CD for data pipelines experience, Infrastructure-as-code experience, Modern data management practices adoption experience, Data cataloging experience, Data lineage experience, Data observability experience
What You'll Do.
Drive vision and technical strategy
Accelerate build-out of data components
Conceptualize data architecture
Own data architecture
Evaluate design tradeoffs
Evaluate operational cost tradeoffs
Lead design of data pipelines
Lead development of data pipelines
Lead maintenance of data pipelines
Ingest data from legacy warehouses
Ingest data from operational systems
Implement ETL workflows
Curate data for Palantir Foundry
Provide technical leadership
Mentor data engineers
Ensure coding best practices
Ensure testing best practices
Ensure observability best practices
Ensure data lifecycle management best practices
Build cross-functional relationships
Understand data needs
Deliver on data needs
Understand ontology requirements
Deliver on ontology requirements
Determine security models
Implement security models
Determine access control models
Implement access control models
Ensure compliance with export control
Ensure compliance with safeguards
Architect data integration solutions
Implement data integration solutions
Architect ETL solutions
Implement ETL solutions
Architect data processing solutions
Implement data processing solutions
Align solutions with business goals
Align solutions with Palantir Foundry use cases
Optimize data pipelines
Optimize storage layouts
Build curated data sets
Launch curated data sets
Build semantic models
Launch semantic models
Support analytics use cases
Support reporting use cases
Support operational use cases
Solve data integration problems
Solve data migration problems
Implement data tagging
Implement data classification
Enhance data classification
Implement metadata strategies
Enhance metadata strategies
Support self-service discovery
Optimize shared components
Facilitate easier development
Facilitate reuse of data artifacts
Influence product teams
Influence cross-functional teams
Identify data opportunities
Build high-performance data warehouses
Build scalable data warehouses
Build lakehouse structures
Launch efficient data pipelines
Launch reliable data pipelines
Move data from on-premise sources
Move data from cloud sources
Transform data from sources
Source external data securely
Source partner data securely
Ensure appropriate controls
Design dimensional data models
Design normalized data models
Design data vault models
Deploy data quality checks
Ensure high-quality data
Optimize existing pipelines
Maintain domain-related data pipelines
Ensure continuous improvement
Take ownership of data ecosystem
Collaborate with infrastructure teams
Collaborate with DevOps teams
Ensure availability of data platforms
Ensure security of data platforms
Ensure efficiency of data platforms
Drive adoption of data management practices
Drive adoption of data management tools
Drive adoption of data management technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Data Scientists; Product Managers; Palantir teams; Software Engineers; Infrastructure teams; DevOps teams
Communication Scope
Technical leadership
Process & Methodology
Roadmap planning
Full Job Description
Senior Software Developer - Data Engineering-2 **Company:** The Boeing Company Boeing Defense, Space and Security (BDS) is seeking a **Senior Software Developer – Data Engineer** to support our dynamic Data Engineering team in **Seattle, WA**. At Boeing, we are all innovators on a mission to connect, protect, explore, and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us. Our team is building an **AWS-based data lakehouse** in **AWS GovCloud** and preparing the enterprise data foundation to power **Palantir Foundry** and ontology-driven analytics. We are migrating data from legacy data warehouses into the Boeing AWS Gov Data Lakehouse (DLH), implementing scalable ingestion, transformation, and data quality frameworks, and enabling secure, governed, and well-modeled data products for downstream analytics, applications, and digital thread use cases across BDS. This role will be a key technical leader in designing and implementing cloud-native data pipelines, data models, and metadata/tagging strategies that make our data lake ready for Palantir ontology, while ensuring compliance with security and regulatory requirements in a highly controlled environment. **Position Responsibilities:** * Drives the vision and technical strategy for the AWS GovCloud data lakehouse and analytics foundation, accelerating the build-out of reusable, cross-platform data components. * Conceptualizes and owns the data architecture for multiple large-scale migration and ingestion projects, evaluating design and operational cost-benefit tradeoffs. * Leads the design, development, and maintenance of complex and scalable data pipelines to ingest data from legacy data warehouses and operational systems into AWS Gov DLH (e.g., S3, Glue, EMR, Kinesis). * Designs and implements robust ETL/ELT workflows using cloud-native and open-source tools (e.g., AWS Glue, Spark, Lambda, Step Functions) to transform, standardize, a
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