Blue Origin
Engineer-SupplyChainOptimization
Neural analysis suggests this role is
optimal for Mid candidates.
“Engineer - Supply Chain Optimization at Blue Origin. Skills: Data Integration, Manufacturing Operations Performance Improvement, Supply Chain Optimization, Data Analysis, Dashboard Development. Provide technical execution and data integration support for projects that improve manufacturing operations performance. Query data across enterprise systems (SQL or similar) to extract, analyze, and organize operational information”
What You'll Achieve.
Improve manufacturing operations performance; Make the business faster, more transparent, and more productive; Ensure solutions align with how work actually gets done; Tie to manufacturing goals
Industry & Context.
Solving problems with data; Translating operational needs into clear requirements; Seeing work drive real change across a company
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, Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation, Drivers who operate Commercial Motor Vehicles may be subject to additional Federal Motor Carrier Safety Regulations, Ability to obtain and maintain Merchant Mariner Credential
What They're Looking For.
Must Have
B. S. in Industrial Engineering, Manufacturing Engineering, Data Analytics, Supply Chain, Operations Management, or a related field, 3+ years of experience in manufacturing operations, data analytics, supply chain, or a related technical role, Proficiency in SQL or similar data querying languages, Experience building dashboards and reports in Tableau, Power BI, or equivalent tools, Ability to validate data accuracy and verify that automated solutions produce correct outputs, written and verbal communication skills with the ability to translate technical information for non-technical audiences, Willingness to learn and apply internal AI tools to support day-to-day work
Nice to Have
5+ years of experience in a manufacturing or production environment, preferably in aerospace, defense, or high-complexity hardware, Experience writing requirements or user stories for data science or software development teams, Familiarity with ERP/MRP systems (SAP, Oracle, or similar), Experience with Python, R, or other scripting languages for data manipulation, Understanding of manufacturing processes, standard work, and operational KPIs, Experience with AI/ML tools, prompt engineering, or automation validation, Lean Six Sigma or continuous improvement experience
What You'll Do.
Provide technical execution and data integration support for projects that improve manufacturing operations performance
Query data across enterprise systems (SQL or similar) to extract
and organize operational information
Build and maintain dashboards in Tableau (or equivalent) to provide visibility into key manufacturing metrics such as lead time
Validate and verify that automation solutions and AI-driven outputs meet operations requirements and produce accurate results
Translate operational needs into clear
well-documented requirements for data science and engineering teams
Support the integration of tools and data sources to consolidate reporting and reduce redundancy
Leverage internal AI tools to support analysis
and process documentation
Partner with operations teams to understand workflows and ensure solutions align with how work actually gets done
Support development of input metrics and tracking mechanisms that tie to manufacturing goals
How You'll Work.
Team & Collaboration
Works alongside Technical Project Managers, operations leaders, and data science teams; Communicate findings, status, and recommendations clearly to project leads and stakeholders; Partner with operations teams to understand workflows and ensure solutions align with how work actually gets done
Communication Scope
Written and verbal communication skills; Ability to translate technical information for non-technical audiences; Communicate findings, status, and recommendations clearly
Full Job Description
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities. Blue Origin is looking for an Industrial/Process/Mfg Engineer to provide technical execution and data integration support for projects that improve manufacturing operations performance. This role sits within the Supply Chain Optimization & Technology team and works alongside Technical Project Managers, operations leaders, and data science teams to turn operational needs into validated, working solutions. You will query data, build dashboards, validate automation outputs, and ensure that what gets delivered actually works for the people on the floor. This is not a single-program role — you will support all of Blue Origin's operations, applying your technical skills to make the business faster, more transparent, and more productive. If you like solving problems with data, translating operational needs into clear requirements, and seeing your work drive real change across a company — this is your role. **Responsibilities include but are not limited to:** * Query data across enterprise systems (SQL or similar) to extract, analyze, and organize operational information * Build and maintain dashboards in Tableau (or equivalent) to provide visibility into key manufacturing metrics such as lead time, shortages, and throughput * Validate and verify that automation solutions and AI-driven outputs meet operations requir
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