Data Engineer

U.S. Fusion Energy; Illinois; On-site; USD 125,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Paid parental leave

PTO & holidays

401(k) with match

Job summary

Xcimer Energy (Denver, CO) seeks a Data Engineer to integrate and maintain critical data systems across engineering, manufacturing, and business operations. You will build tools and dashboards that extract insights from the data lake to empower daily decision-making, in a hands-on role with broad impact.

This onsite position emphasizes operational excellence and scalable data solutions. Responsibilities include end-to-end data pipelines, monitoring, and cross-functional collaboration to deliver

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of experience in Data Engineering for aerospace, defense, semiconductor, or other advanced manufacturing/R&D.
• 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.
• Experience building interactive dashboards and visualizations (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, or eligible for lawful admission into the U.S.

Responsibilities

• Build and maintain data pipelines and integrations across CAD/CAE, PLM, ERP, procurement, and other business systems.
• Implement monitoring, alerting, and error-handling practices to minimize disruption.
• Translate product and business requirements into tools, dashboards, and demos; streamline existing systems and workflows.
• Collaborate across business operations, manufacturing, supply chain, design engineering, experimental physics, computation, and controls.
• Drive clear, well-documented process and tool rollouts and manage stakeholder changes.
• Support data governance by documenting ownership, lineage, and access requirements.

Skills

Python

SQL

Spark

Databricks

AWS S3

Data Modeling

ETL Pipelines

Dashboards

Communication

Documentation

Education

Bachelor’s degree in Data Science/CS/IS/Engineering

Tools

Databricks Lakehouse

Delta Lake

Unity Catalog

Plotly/Dash/Streamlit

AWS S3

Job description

Denver, CO

Operations – Business Operations /

Full-Time /

On-site

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

$125,000 - $160,000 a year

Candidates may be considered for other positions at Xcimer Energy, and our actual base salary will be determined on an individual basis and may vary based on job-related knowledge and skills, education, and experience. The range is published in accordance with Colorado Equal Pay for Equal Work Act and California Equal Pay Act.

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. For more information on EEO Is the Law, please seehereandhere.

Benefits

Benefits Employee Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave (must be employed at time of birth or adoption), short and long-term disability, 401(k) with a company match of up to 6%. Paid Time Off: 15 days per year based on weekly scheduled hours, 10 paid sick leave, and 13 company-paid holidays for all regular employees (including part-time), fixed-term, and interns. Equity will be granted to eligible employees. Equity is designed to allow employees to share in company results and success.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.