Engineer - Supply Chain Optimization
About The Position
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.
Requirements
- 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
- Strong 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 Haves
- 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
Responsibilities
- 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 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
- Communicate findings, status, and recommendations clearly to project leads and stakeholders
- Leverage internal AI tools to support analysis, reporting, 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
Benefits
- 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)
- Up to four (4) weeks per year based on weekly scheduled hours
- Up to 14 company-paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
