Job 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. Responsibilities Build and maintain data pipelines and integrations across CAD/CAE, PLM, ERP, procurement, and other business systems, closing gaps in data availability across the org and turning that data into information that drives business decisions. Implement monitoring, alerting, and error-handling practices so data pipeline failures are caught early and resolved with minimal disruption. Convert defined requirements and user stories from product and business stakeholders into working tools, dashboards, and demos. Discover and streamline existing systems, workflows, and processes through automation and improved data pipelines to increase operational efficiency. Collaborate across domains such as business operations, manufacturing, supply chain, design engineering, experimental physics, computation, and controls to deliver fit-for-purpose tools. Drive clear, well-documented process and tool rollouts, capturing the reasoning behind design decisions, managing change with stakeholders, and building solutions that hold up as business needs and underlying systems evolve. Support data governance efforts by documenting ownership, lineage, and access requirements as new systems and integrations come online. 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 an aerospace, defense, semiconductor, or other advanced manufacturing/R&D company Proficient in Python and SQL; familiarity with Spark (PySpark/Spark SQL) strongly preferred. Strong understanding of data modeling, ETL pipelines, relational databases and SQL Experience with the Databricks Lakehouse platform (Delta Lake, Unity Catalog, workflows) and AWS S3 cloud object storage. Experience building interactive dashboards and visualizations (e.g. Plotly/Dash, Streamlit, or similar) 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 or granted asylum. Desired Startup or early-stage company experience Equal Employment Opportunity Xcimer Energy is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Xcimer Energy hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Xcimer Energy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. Benefits Xcimer offers a comprehensive benefits package designed to support employee health, well-being, and long-term success. Benefits include medical, dental, and vision coverage; basic and supplemental life insurance; short- and long-term disability; paid parental leave for employees at the time of birth or adoption; and a 401(k) with a company match of up to 6%. Eligible employees also receive equity, allowing them to share in the company’s long-term success. Xcimer operates under a flexible Paid Time Off (ATO) approach. Rather than a fixed number of vacation days, employees are trusted to take the time they need to rest and recharge while meeting the expectations of their role and team. In addition, employees receive paid sick time, 13 company-paid holidays, and an annual paid company shutdown. Benefits are available to regular employees, including part-time and fixed-term roles, as well as interns, with eligibility varying by benefit.

Requirements

Must-haves

This is a full-time, onsite role based at our headquarters in Denver, CO.
Implement monitoring, alerting, and error-handling practices so data pipeline failures are caught early and resolved with minimal disruption.
Collaborate across domains such as business operations, manufacturing, supply chain, design engineering, experimental physics, computation, and controls to deliver fit-for-purpose tools.
Support data governance efforts by documenting ownership, lineage, and access requirements as new systems and integrations come online.
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 an aerospace, defense, semiconductor, or other advanced manufacturing/R&D company
Strong understanding of data modeling, ETL pipelines, relational databases and SQL Experience with the Databricks Lakehouse platform (Delta Lake, Unity Catalog, workflows) and AWS S3 cloud object storage.
Experience building interactive dashboards and visualizations (e.g. Plotly/Dash, Streamlit, or similar)
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 or granted asylum.

Nice-to-haves

Proficient in Python and SQL; familiarity with Spark (PySpark/Spark SQL) strongly preferred.
Startup or early-stage company experience

Application prep

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Keywords to mirror

pythonsqlawsrest

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave