Data Engineer
Denver, CO
Xcimer Energy Corporation
Xcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion!
As a Data Engineer, you will assist efforts to unify and govern critical data systems across engineering, manufacturing, and business operations. You’ll serve as both a key technical contributor, participating in a cross-functional team to deliver the tools, simulations, and dashboards that power daily decision-making at Xcimer. This is a hands-on role with broad impact, ideal for someone passionate about operational excellence and shaping the future of clean energy.
As a Data Engineer, you will assist efforts to unify and govern critical data systems across engineering, manufacturing, and business operations. You’ll serve as both a key technical contributor, participating in a cross-functional team to deliver the tools, simulations, and dashboards that power daily decision-making at Xcimer. This is a hands-on role with broad impact, ideal for someone passionate about operational excellence and shaping the future of clean energy.
Responsibilities
- Design, document, and maintain an integrated data architecture linking CAD/CAE, PLM, ERP/MRP, procurement, and business systems
- Translate stakeholder needs into actionable user stories, roadmaps, demos, and OKRs
- Maintain and improve existing software systems to reduce technical debt and enhance performance
- Collaborate across domains such as design engineering, manufacturing, experimental physics, and computation to deliver fit-for-purpose tools
- Communicate effectively through documentation, diagrams, and code
Qualifications
- Education: Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or a related field
- Experience: 5+ years of experience in Data Engineering for a manufacturing or R&D company.
- Proficient in at least one typed language (e.g., Java or C) and one untyped/scripting language (e.g., Python or JavaScript)
- Strong understanding of data modeling, ETL pipelines, and database systems
- Proven ability to learn new technical domains quickly and translate complex systems into robust tools
- Strong communication, organizational, and documentation skills
- Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee of granted asylum.
Desired
- Startup or early-stage company experience
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Architecture CAD Computer Science Engineering ETL Java JavaScript OKR Physics Pipelines Python R R&D Research
Perks/benefits: 401(k) matching Health care Insurance Medical leave Parental leave Startup environment
Region:
North America
Country:
United States
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