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# Data Engineer IV

- **Company:** Blue Origin
- **Location:** United States
- **Experience:** Expert
- **Salary:** $169,347.0 - $237,086.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Business Logic, Biometrics, Continuous Integration, Data Governance, Data Infrastructure, Data Mart, Python (Programming Language), Operational Databases, Standard Sql, Software Engineering, Web Applications, Large Language Models, Data Strategy, Gitlab, Git, Data Layers, Gitlab-ci, Core Data, Information Technology, Tools for Reporting, Api Gateway, Natural Language Interfaces, Databricks
- **Published:** October 13, 2026
- **Apply:** https://blueorigin.wd5.myworkdayjobs.com/BlueOrigin/job/Greater-Seattle-Area/Data-Engineer-IV_R72805

## About the Role

* 6+ years of experience building and operating production data pipelines and data models, including experience leading data modeling architecture decisions
 * Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
 * Expert-level proficiency in Python and SQL
 * Deep experience with Databricks (or comparable lakehouse platform) architecting large-scale, business-facing data models
 * Proven experience partnering with or consuming data from a centralized enterprise data platform team, including managing data contracts and adapting to upstream changes
 * Strong experience architecting solutions on AWS (e.g., S3, Lambda, Glue, ECS/EKS, RDS, API Gateway)
 * Proven experience with Git-based CI/CD workflows (GitLab preferred) and modern software engineering practices
 * Demonstrated ability to mentor engineers and lead cross-functional technical initiatives
 * Must be a U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3), due to access to export-controlled data, * Prior experience owning the highest-used/core data models for a business function (supply chain, finance, manufacturing) that consume from a centralized enterprise data platform
 * Experience embedding AI/LLM-based tooling into production data modeling or governance workflows
 * Prior experience in a supply chain, manufacturing, or aerospace/defense data environment
 * Experience designing self-serve analytics platforms/semantic layers built on top of business-owned data models
 * Familiarity with enterprise data governance frameworks, catalogs, and lineage tools

## Description

* Core Data Model Ownership: Architect and own the primary supply chain data models in Databricks - the most heavily used data assets across the organization - built on top of the data ET provides.
 * Self-Serve Analytics Strategy: Own the strategy and architecture for how supply chain stakeholders self-serve data - including semantic layers, curated data marts, access patterns, and documentation - ensuring business users across the org can reliably find and trust the metrics they need without engineering support.
 * ET Partnership & Data Strategy: Serve as the primary technical liaison with ET's data platform team, defining data contracts, advocating for supply chain data needs, and adapting the team's models as ET's underlying platform evolves.
 * Modeling Standards & Governance: Define and enforce data modeling standards, business logic ownership, and data quality frameworks that ensure trust and consistency across every downstream consumer of the team's supply chain models and self-serve tools.
 * Web Application & Delivery Strategy: Guide the architecture of AWS-hosted internal web applications and self-serve analytics tools that are built on top of the team's core data models, ensuring performance, scalability, and usability.
 * Technical Leadership: Set engineering standards for GitLab CI/CD, VS Code-based development, testing, and deployment; mentor Data Engineer I-III team members on data modeling and self-serve enablement best practices.
 * AI-Enabled Engineering: Evaluate and integrate AI-assisted development, data modeling, and analytics tools (e.g., AI-powered query assistants, natural language interfaces) to further scale self-serve capabilities across the business.
 * Cross-Functional Partnership: Act as the primary technical point of contact between supply chain leadership and the engineering team, ensuring the team's data models and self-serve tools evolve to meet changing business needs.
 * End-to-End Coverage: Ensure comprehensive, reliable model and self-serve metric coverage across the entire supply chain function - procurement, inventory, logistics, supplier performance, and manufacturing supply - resolving gaps and inconsistencies as the business scales., Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Background Check

 * Required for all positions: Blue's Standard Background Check
 * Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
 * Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
 * Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical