Business Intelligence Engineer Sr,

About the role

This role is part of Blue Origin Operations, which includes Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. It involves Manufacturing and Supply Chain support across all Blue Origin facilities.

Responsibilities

• Craft and develop scalable reporting, dashboards and data solutions using SQL, Tableau, and other tools
• Build custom data visualizations and interactive analytical applications using web frameworks (e.g., Streamlit, Flask, Dash, or similar)
• Create automation solutions to integrate disparate systems and automate otherwise manual workload
• Create analytical data models that support standardized metrics tied to production rate ramp and supply chain performance
• Collaborate with supply chain leaders, production control, and program management to identify and build metrics that enable leaders to lead their teams
• Work with partners and domain specialists to generate reporting, application, and integration requirements
• Leverage AI-assisted development workflows to accelerate delivery while maintaining high standards for code quality and accuracy

Qualifications

• Passion for our mission: Millions of people living and working in space!
• Bachelor's degree in a quantitative field or equivalent experience
• Strong SQL skills in an analytics context — including creating, altering, and managing data tables — to build sophisticated datasets and models enabling data access to less data-savvy users across the entire enterprise
• Experience using Python to structure data frames (Pandas, etc.), develop automations, build machine learning models (XGBoost) and create data visualizations (Seaborn, Matplotlib)
• Experience building data-driven web applications or custom interactive visualizations beyond standard no-code BI tools
• Comfortable using AI coding assistants (e.g., Claude, GitHub Copilot, or similar) as part of your daily development workflow to write, iterate on, and review code
• Familiarity using version control to check in production code in a shared repository
• Attention to detail and high level of accuracy
• Ability to earn trust and maintain positive and professional relationships
• Self-starter, strong bias for action
• Ability to work side by side with business users to scope analytics and automation requirements
• Excellent written communication and presentation skills

Desired

• Familiarity with AWS Services, especially SageMaker, ECS
• Familiarity with Docker and container orchestration frameworks such as Kubernetes
• Experience supporting production environments focused on rate manufacturing or production ramp
• Experience building data models in dbt
• Familiarity with hierarchical data structures and recursive processing techniques
• Experience with JIRA, GitLab and Confluence
• Knowledge of ETL tools and processes
• Experience with web frameworks such as Streamlit, Flask, Dash, or React for building analytical applications