Senior Data Engineer, Supply Chain Analytics

Blue Origin LLC; Washington; On-site; USD 141,000 - 198,000; Full time

Job summary

Blue Origin is seeking a data modeling engineer to build and maintain core supply chain data models in Databricks, downstream dashboards, and self-serve analytics tools. You will ingest raw ET data, apply business logic, and ensure data quality across the pipeline.

The role focuses on upstream data modeling, collaborating with ET data teams, and delivering governed data assets for analytics across the organization. Strong Python/SQL and AWS experience are required.

Qualifications

• 3+ years of experience building and operating production data pipelines and data models.
• Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
• Advanced proficiency in Python and SQL.
• Experience with Databricks or similar lakehouse platforms for dimensional/data modeling and transformation.
• Experience integrating with upstream source systems (ERP, transactional databases, or similar) and managing schema/data contract changes.
• Experience with AWS cloud services (e.g., S3, Lambda, Glue, RDS, ECS).
• Familiarity with Git-based version control and CI/CD pipelines (GitLab preferred).
• Strong understanding of data warehousing/modeling concepts (dimensional modeling, medallion architecture, slowly changing dimensions).
• Must be a U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3).

Responsibilities

• Supply Chain Data Modeling: Design, build, and maintain the core supply chain data models in Databricks — built on top of ET-provided data.
• Business Logic & Data Quality: Apply supply chain-specific business logic, transformations, and data quality rules to produce accurate, trusted, and reusable data models.
• Self-Serve Enablement: Build and maintain data products and semantic layers that allow supply chain analysts and business users to self-serve metrics and insights without deep technical support.
• Web Application Support: Contribute to AWS-hosted internal web applications that surface these supply chain data models as dashboards, KPIs, and operational tools.
• Collaboration & Standards: Partner with ET data platform teams and supply chain stakeholders to define data contracts, onboard new data needs, participate in code reviews, and establish data modeling standards for the team.
• Modern Engineering Practices: Develop using GitLab for version control and CI/CD, VS Code as the primary development environment, and leverage AI-assisted tooling to increase modeling and pipeline development velocity.
• Observability: Monitor pipeline and model health, ensuring high availability, performance, and discoverability of the team's supply chain data models.

Skills

Python

SQL

Databricks

AWS

GitLab CI/CD

Data warehousing concepts

Data modeling

ETL/ELT

Education

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

Equivalent practical experience

Tools

GitLab

VS Code

AWS

Job description

Blue Origin is seeking a data modeling engineer to build and maintain core supply chain data models in Databricks, downstream dashboards, and self-serve analytics tools. You will ingest raw ET data, apply business logic, and ensure data quality across the pipeline.

The role focuses on upstream data modeling, collaborating with ET data teams, and delivering governed data assets for analytics across the organization. Strong Python/SQL and AWS experience are required.