Senior Business Intelligence Engineer

BLUE ORIGIN

Business Intelligence Engineer responsible for building data models and visualizing data for supply chain. Supporting production ramp and collaborative reporting tools for the organization.

Posted 6/3/2026full-timeFlorida, Washington • 🇺🇸 United StatesSenior💰 $130,706 - $182,988 per yearWebsite

Tech Stack

Tools & technologies

FlaskPandasPythonSQLTableau

About the role

Key responsibilities & impact

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) to deliver experiences beyond what standard BI tools provide
Develop 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
Build strategic reporting solutions for leadership to support Weekly Business Reviews (WBR) and Monthly Business Reviews (MBR)
Work with partners and domain specialists to generate reporting, application, and integration requirements
Use AI coding assistants to accelerate development, and critically review and refine all outputs before shipping to production
Provide business analysis and technical expertise to internal and external partners
Maintain day-to-day workflow and communication with a variety of partners across the company

Requirements

What you’ll need

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
Experience communicating information to executive partners
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.

Benefits

Comp & perks

Medical, dental, vision, basic and supplemental life insurance
Paid parental leave
Short and long-term disability
401(k) with a company match of up to 5%
Education Support Program
Stock Options for all regular employees (working at least 20 hours/week)
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLTableauPythonPandasXGBoostSeabornMatplotlibdata modelingdata visualizationautomation solutions

Soft Skills

attention to detailcommunicationrelationship buildingself-starterbias for actioncollaborationbusiness analysispresentation skillstrust buildingproblem-solving

Certifications

Bachelor's degree in a quantitative field