Senior Data Engineer: Core Models & Self-Serve Analytics

Blue Origin; Seattle (WA); On-site; USD 169,000 - 237,000; Full time

Job summary

Blue Origin in the Greater Seattle Area is seeking a Senior Data Engineer IV to own the architecture and strategy for essential supply chain data models and the self-serve analytics platform built on Databricks.

You will partner with the Enterprise Technology data platform team, mentor engineers, set standards, and guide AWS-hosted web applications while advancing AI-enabled data tooling and governance across procurement, inventory, logistics, and supplier performance.

Qualifications

• 6+ years of experience building and operating production data pipelines and data models.
• Expert-level proficiency in Python and SQL.
• Deep experience with Databricks (or comparable lakehouse platform) architecting large-scale data models.
• Experience partnering with an enterprise data platform team and managing data contracts.
• Experience architecting solutions on AWS and using CI/CD workflows.

Responsibilities

• Own the architecture and strategy for core data models in Databricks across supply chain domains.
• Define self-serve analytics strategy, semantic layers, data marts, and documentation.
• Partner with ET data platform team and evolve models as platform evolves.
• Set data modeling standards, governance, and data quality frameworks.
• Guide architecture of AWS-hosted internal apps and self-serve tools; ensure performance and scalability.
• Mentor Data Engineer I–III and promote best practices in data modeling and self-serve enablement.
• Evaluate AI-assisted development and integrate AI tooling to scale self-serve capabilities.

Education

Bachelor's degree in Computer Science, Engineering, or related quantitative field

Tools

Databricks

AWS (S3, Lambda, Glue, ECS/EKS, RDS, API Gateway)

GitLab CI/CD

Job description

Blue Origin in the Greater Seattle Area is seeking a Senior Data Engineer IV to own the architecture and strategy for essential supply chain data models and the self-serve analytics platform built on Databricks.

You will partner with the Enterprise Technology data platform team, mentor engineers, set standards, and guide AWS-hosted web applications while advancing AI-enabled data tooling and governance across procurement, inventory, logistics, and supplier performance.