Posted Jul 15, 2026
Description
<p></p><h3>Job Description </h3> <p>At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunities for professional growth. </p> <h3>Position Overview </h3> <p>Boeing Defense, Space and Security (BDS) is seeking a Senior Software Developer – Data Engineer to support our dynamic Data Engineering team in Seattle, WA. </p> <p>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. </p> <h3>Position Responsibilities </h3> <ul> <li>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. </li> <li>Conceptualizes and owns the data architecture for multiple large-scale migration and ingestion projects, evaluating design and operational cost-benefit tradeoffs. </li> <li>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). </li> <li>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, and curate data for Palantir Foundry and other consumers. </li> <li>Provides technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, testing, observability, and data lifecycle management. </li> <li>Builds cross-functional relationships with Data Scientists, Product Managers, Palantir teams, and Software Engineers to understand and deliver on data needs and ontology requirements. </li> <li>Defines and manages SLAs for critical data sets and pipelines, including availability, latency, and data quality metrics. </li> <li>Determines and implements security and access control models based on privacy and classification requirements, ensuring compliance with export control and other safeguards. </li> <li>Architects and implements end-to-end data integration, ETL, and data processing solutions aligned with business goals and Palantir ontology/Foundry use cases. </li> <li>Optimizes and tunes data pipelines and storage layouts (e.g., partitioning, file formats such as Parquet) for maximum performance, scalability, and cost efficiency. </li> <li>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. </li> <li>Solves challenging data integration and migration problems using optimal ETL patterns, frameworks, and query techniques across heterogeneous legacy systems. </li> <li>Implements and enhances data tagging, classification, and metadata strategies to support governance, lineage, and self-service discovery in the data lakehouse. </li> <li>Optimizes pipelines, frameworks, and shared components to facilitate easier development and reuse of data artifacts across programs and domains. </li> <li>Influences product and cross-functional teams to identify data opportunities that drive measurable impact and enable digital thread and model-based engineering initiatives. </li> <li>Applies proven expertise to build high-performance, scalable data warehouses and lakehouse structures on AWS. </li> <li>Designs, builds, and launches efficient and reliable data pipelines to move and transform data from on-premise and cloud sources into AWS Gov DLH. </li> <li>Sources external and partner data securely, ensuring appropriate controls, encryption, and monitoring are in place. </li> <li>Designs data models intelligently (e.g., dimensional, normalized, or data vault) for optimal storage, retrieval, and alignment with Palantir ontology. </li> <li>Deploys inclusive data quality checks and monitoring to ensure high-quality, trusted data (e.g., validation rules, anomaly detection, reconciliation). </li> <li>Optimizes existing pipelines and maintains all domain-related data pipelines, ensuring reliability and continuous improvement. </li> <li>Takes ownership of the end-to-end data ecosystem for assigned domains, from ingestion through consumption and decommissioning. </li> <li>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. </li> <li>Drives the adoption of modern data management practices, tools, and technologies (e.g., data cataloging, lineage, observability) within the organization. </li> </ul> <h3>Basic Qualifications (Required Skills/Experience) </h3> <ul> <li><b>5 </b>+ years of experience writing software for data services or data-intensive applications. </li> <li>5+ years of experience with SQL development, including performance tuning and complex queries. </li> <li>5+ years of experience with ETL/ELT programming and data transformation. </li> <li>5+ years of experience developing data pipelines in production environments. </li> <li>5+ years of experience developing software products or data platforms in a cloud environment (e.g., AWS). </li> <li>5+ years of experience with AWS data and analytics services such as S3, Glue, Athena, Redshift/Redshift Spectrum, EMR, Lambda, or Step Functions. </li> <li>5+ years of experience migrating data from legacy data warehouses (e.g., Teradata, Oracle, SQL Server, Netezza, etc.) into cloud-based data platforms. </li> </ul> <h3>Preferred Qualifications (Desired Skills/Experience) </h3> <ul> <li>Bachelor’s degree in a technical field (Computer Science, Engineering, Information Systems, or related); Master’s or Doctorate preferred. </li> <li>Experience working in AWS GovCloud or other secure/regulated cloud environments. </li> <li>Experience with Palantir Foundry, ontology modeling, or similar semantic/knowledge graph platforms. </li> <li>Experience in a manufacturing, aerospace, or defense environment. </li> <li>Experience in data analytics and enabling data science or BI teams. </li> <li>Experience with modern data engineering tools and practices (e.g., Spark, dbt, Airflow/orchestration tools, data quality frameworks, data catalog/lineage tools). </li> <li>Familiarity with data governance, data classification, and role-based access control in regulated environments. </li> </ul> <h3>Typical Education / Experience </h3> <p>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.). </p> <h3>Conflict of Interest </h3> <p>Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. </p> <h3>Relocation </h3> <p>Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. </p> <h3>Travel </h3> <p>Position may require travel up to 10% of the time. </p> <h3>Drug Free Workplace </h3> <p>Boeing is 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. </p> <h3>Pay & Benefits </h3> <p>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: $158,950-$215,050. </p> <h3>Export Control Requirements </h3> <p>This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. </p> <h3>Visa Sponsorship </h3> <p>Employer will not sponsor applicants for employment visa status. </p> <h3>Shift </h3> <p>This position is for 1st shift. </p> <h3>Equal Opportunity Employer </h3> <p>Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. </p> <p></p> #J-18808-Ljbffr
Requirements
- RN
- DO
- NP
- PA
- MPH
- Emr
Benefits
- Health insurance
- Vision
- Retirement
