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11 дней назад

Data Engineer (Fusion Energy)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (Fusion Energy): Building and maintaining data pipelines, integrations, dashboards, and governance systems across engineering, manufacturing, and business operations with an accent on Python, SQL, Databricks, AWS S3, and operational data reliability. Focus on integrating CAD/CAE, PLM, ERP, and procurement data, implementing monitoring and error handling, and translating complex cross-functional systems into robust tools for fusion energy development.

Location: On-site at the headquarters in Denver, Colorado, United States

Company

hirify.global develops inertial fusion energy technology and laser architecture to accelerate the deployment of clean fusion power plants.

What you will do

  • Build and maintain data pipelines and integrations across CAD/CAE, PLM, ERP, procurement, and other business systems.
  • Implement monitoring, alerting, and error handling to detect and resolve pipeline failures.
  • Convert stakeholder requirements and user stories into tools, dashboards, visualizations, and demonstrations.
  • Collaborate with business operations, manufacturing, supply chain, design engineering, experimental physics, computation, and controls.
  • Document process and tool rollouts, design decisions, data ownership, lineage, and access requirements.
  • Automate workflows and improve data availability and operational efficiency as systems evolve.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
  • At least 5 years of data engineering experience in aerospace, defense, semiconductor, advanced manufacturing, or an R&D environment.
  • Proficiency in Python and SQL, with strong knowledge of data modeling, ETL pipelines, relational databases, and SQL.
  • Experience with Databricks Lakehouse, Delta Lake, Unity Catalog, workflows, and AWS S3.
  • Experience building interactive dashboards and visualizations with Plotly/Dash, Streamlit, or similar tools.
  • Must be a U.S. citizen or national, U.S. permanent resident, refugee, or asylee.

Nice to have

  • Familiarity with Spark, PySpark, or Spark SQL.
  • Ability to learn new technical domains quickly and translate complex systems into robust tools.

Culture & Benefits

  • Cross-functional work spanning fusion science, engineering, manufacturing, and business operations.
  • Medical, dental, vision, life, and disability insurance.
  • Paid parental leave, paid time off, paid sick leave, and 13 company-paid holidays.
  • 401(k) with a company match of up to 6%.
  • Equity eligibility and an equal-opportunity workplace focused on trust, equality, teamwork, and inclusion.

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