Xcimer Energy
Data Engineer
Denver, CO · On-site · Unspecified
- Discipline
- Software
- Industry
- Energy
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Operations
Data Engineer at Xcimer Energy, onsite in Denver, CO, responsible for integrating and maintaining data systems across engineering, manufacturing, and business operations to enable data-driven decision-making from the data lake.
Day shift
Required
- data engineering
- data lake
- dashboards
- ETL
- SQL
- Python
- data integration
- engineering data
Preferred
- BI tooling
- dbt
- Spark
- cloud (AWS/GCP/Azure)
- manufacturing/engineering data
Employer description
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!
This is a full-time, onsite role based at our headquarters in Denver, CO.
As a Data Engineer, you will assist efforts to integrate and maintain critical data systems across engineering, manufacturing, and business operations. You’ll serve as a key technical contributor, participating in a cross-functional team to deliver tools and dashboards which extract useful answers from the data lake and empower 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.
Stateside Spec lists roles for engineering teams in the United States. Work-authorization notes come from the employer. We do not guarantee visa policy. Apply off-site. Report an issue with this listing View employer source