Data Engineer for Fusion Energy Data Pipelines & Dashboards

Xcimer-Energy; Denver (CO); On-site; USD 125,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with company match

Paid time off 15 days/yr

Equity for eligible employees

Parental leave

Disability coverage

Paid holidays

Job summary

Xcimer Energy, based in Denver, CO, is hiring a Data Engineer to build and maintain data pipelines across engineering, manufacturing, and business ops. You will contribute as a hands-on technical lead on a cross-functional team, delivering tools and dashboards that extract actionable insights from the data lake to support daily decisions.

The role requires 5+ years in data engineering, strong Python/SQL skills, and experience with Databricks and AWS S3.

Qualifications

• Bachelor's degree in a relevant field.
• 5+ years of Data Engineering experience in aerospace/advanced manufacturing.
• Proficient in Python and SQL; Spark familiarity preferred.
• Experience with Databricks Lakehouse, Delta Lake, Unity Catalog, and AWS S3.
• Experience building interactive dashboards and visualizations.
• Strong communication and documentation skills.

Responsibilities

• Build and maintain datapipelines across CAD/CAE, PLM, ERP, and other systems.
• Implement monitoring and error handling to minimize disruption.
• Translate requirements into tools, dashboards, and demos.
• Collaborate across design engineering, manufacturing, operations, and more.
• Roll out processes and tools with clear documentation and change management.
• Support data governance by documenting ownership and lineage.

Skills

Python

SQL

Data modeling

ETL pipelines

Relational databases

Dashboards/visualizations

Communication

Documentation

Learning quickly

Education

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

Tools

Spark (PySpark)

Databricks Lakehouse

Unity Catalog

AWS S3

Plotly/Dash/Streamlit

Job description

Xcimer Energy, based in Denver, CO, is hiring a Data Engineer to build and maintain data pipelines across engineering, manufacturing, and business ops. You will contribute as a hands-on technical lead on a cross-functional team, delivering tools and dashboards that extract actionable insights from the data lake to support daily decisions.

The role requires 5+ years in data engineering, strong Python/SQL skills, and experience with Databricks and AWS S3.