Enterprise Cloud Data Engineer

About Commonwealth Fusion Systems :

Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy.

Combining decades of research, top talent, and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future.

We’re in the best position to make it happen. Since 2018, we’ve raised nearly $3 billion in capital, making us the largest and leading private fusion company in the world.

Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.

If that’s you and this role fits, we want to hear from you.

Join the power movement as an Enterprise Cloud Data Engineer

Are you a Data Engineer with a solid foundation, ready to take the next step in your career? Are you excited by the potential of AI and Generative AI to revolutionize how a business operates? We are looking for a creative and driven Cloud Data Engineer to join our team. This role is a unique opportunity to grow into a senior-level position while directly applying cutting-edge AI to solve real-world challenges in a fast growing manufacturing environment.

The ideal candidate for this role has a strong data engineering background and is ready to accelerate their career. You're an agile thinker who thrives in a rapidly growing environment and is passionate about using data and AI to solve complex business problems and help shape the future of our company.

What you'll do :

• ETL / ELT Development : Design, develop, and maintain robust, scalable data pipelines to support both enterprise analytics and the entire machine learning lifecycle.
• Business Solutions : Collaborate with stakeholders across operations, supply chain, finance, and engineering to translate complex business challenges into actionable data requirements and AI-driven solutions.
• Prepare and transform complex datasets into high-quality, model-ready formats suitable for machine learning and Generative AI applications.
• Take full ownership of the data lifecycle for your projects, ensuring high standards of data quality, governance, and reliability from ingestion to consumption.
• Actively contribute to a dynamic, fast-paced environment by proposing new technologies and methodologies to continuously improve our data infrastructure.
• Data Governance
• Integration of key enterprise apps
• AI / ML-Related Responsibilities
• Prototype and develop innovative solutions using Generative AI and Large Language Models (LLMs) to automate workflows and unlock new insights from unstructured enterprise data (e.g., technical documents, financial reports, operational logs)
• Architect and build the data infrastructure required for advanced AI applications, such as implementing pipelines for Retrieval-Augmented Generation (RAG) and managing vector databases to power intelligent search and summarization tools
• Stay at the forefront of the industry by researching, evaluating, and experimenting with emerging AI technologies and platforms to recommend and implement solutions that provide a competitive advantage

What we’re looking for :

Bonus points for :

Must-have requirements :

$70,000 - $120,000 a year

Salary range for this full-time position + equity + benefits

#LI-Hybrid

At CFS, we excel in fast-paced environments, driven by our values of integrity, execution, impact, and self-critique. As we grow, we’re eager to bring on mission-driven folks who offer diverse perspectives and fresh ways to tackle challenges.

We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law.

This role requires compliance with U.S. laws concerning the export of controlled or protected technologies or information (collectively, “Export Control Laws"). Any offer of employment will be contingent on the need for compliance with such Export Control Laws.