Senior Software Developer Data Engineering-2

Company:

Boeing Defense Space and Security (BDS) is seeking aSenior Software Developer Data Engineerto support our dynamic Data Engineering team inSeattle WA.

At Boeing we are all innovators on a mission to connect protect explore and inspire. From the seabed to outer space youll learn and grow contributing to work that shapes the world. Find your future with us.

Our team is building anAWS-based data lakehouseinAWS GovCloudand preparing the enterprise data foundation to powerPalantir Foundryand 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.S3GlueEMRKinesis).
• Designs and implements robust ETL/ELT workflows using cloud-native and open-source tools ( GlueSparkLambdaStep Functions) to transform standardize and curate data for Palantir Foundry and other consumers.
• Provides technical leadership and mentorship to a team of data engineers ensuring best practices in coding testing observability and data lifecycle management.
• Builds cross-functional relationships with Data Scientists Product Managers Palantir teams and Software Engineers to understand and deliver on data needs and ontology requirements.
• Defines and manages SLAs for critical data sets and pipelines including availability latency and data quality metrics.
• Determines and implements security and access control models based on privacy and classification requirements ensuring compliance with export control and other safeguards.
• Architects and implements end-to-end data integration ETL and data processing solutions aligned with business goals and Palantir ontology/Foundry use cases.
• Optimizes and tunes data pipelines and storage layouts (e.g. partitioning file formats such asParquet) for maximum performance scalability and cost efficiency.
• Designs builds and launches curated data sets and semantic models that are ontology-ready and support a variety of analytics reporting and operational use cases.
• Solves challenging data integration and migration problems using optimal ETL patterns frameworks and query techniques across heterogeneous legacy systems.
• Implements and enhances data tagging classification and metadata strategies to support governance lineage and self-service discovery in the data lakehouse.
• Optimizes pipelines frameworks and shared components to facilitate easier development and reuse of data artifacts across programs and domains.
• Influences product and cross-functional teams to identify data opportunities that drive measurable impact and enable digital thread and model-based engineering initiatives.
• Applies proven expertise to build high-performance scalable data warehouses and lakehouse structures on AWS.
• Designs builds and launches efficient and reliable data pipelines to move and transform data from on-premise and cloud sources into AWS Gov DLH.
• Sources external and partner data securely ensuring appropriate controls encryption and monitoring are in place.
• Designs data models intelligently (e.g. dimensional normalized or data vault) for optimal storage retrieval and alignment with Palantir ontology.
• Deploys inclusive data quality checks and monitoring to ensure high-quality trusted data (e.g. validation rules anomaly detection reconciliation).
• Optimizes existing pipelines and maintains all domain-related data pipelines ensuring reliability and continuous improvement.
• Takes ownership of the end-to-end data ecosystem for assigned domains from ingestion through consumption and decommissioning.
• Collaborates with infrastructure and DevOps teams to ensure the availability security and efficiency of data platforms including CI/CD for data pipelines and infrastructure-as-code.
• Drives the adoption of modern data management practices tools and technologies (e.g. data cataloging lineage observability) within the organization.

This position is hybrid. This means that the selected candidate will be required to work 2 days a week onsite at one of the listed location options. This is at the hiring teams discretion and could potentially change in the position must meet export control compliance requirements. To meet export control compliance requirements a U.S. Person as defined by 22 C.F.R. 120.15 is required. U.S. Person includes U.S. Citizen lawful permanent resident refugee or asylee.

Basic Qualifications (Required Skills/Experience):

• 5 years of experience writing software for data services or data-intensive applications.
• 5 years of experience with SQL development including performance tuning and complex queries.
• 5 years of experience with ETL/ELT programming and data transformation.
• 5 years of experience developing data pipelines in production environments.
• 5 years of experience developing software products or data platforms in a cloud environment (e.g. AWS).
• 5 years of experience with AWS data and analytics services such asS3GlueAthenaRedshift/Redshift SpectrumEMRLambda orStep Functions.
• 5 years of experience migrating data from legacy data warehouses (e.g. Teradata Oracle SQL Server Netezza etc.) into cloud-based data platforms.

Preferred Qualifications (Desired Skills/Experience):

• Bachelors degree in a technical field (Computer Science Engineering Information Systems or related); Masters or Doctorate preferred.
• Experience working inAWS GovCloudor other secure/regulated cloud environments.
• Experience withPalantir Foundry ontology modeling or similar semantic/knowledge graph platforms.
• Experience in a manufacturing aerospace or defense environment.
• Experience in data analytics and enabling data science or BI teams.
• Experience with modern data engineering tools and practices ( tools data quality frameworks data catalog/lineage tools).
• Familiarity with data governance data classification and role-based access control in regulated environments.

Typical Education / Experience:

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 9 or more years related work experience or an equivalent combination of technical education and experience (e.g. PhD 4 years related work experience Master 7 years related work experience 13 years related work experience etc.).

Conflict of Interest:

Successful candidates for this job must satisfy the Companys Conflict of Interest (COI) assessment process.

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Travel:

Position may require travel up to 10% of the time.

Drug Free Workplace:

Boeingis a Drug Free Workplace 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 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: $158950-$215050

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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