Enterprise Cloud Data Engineer

Commonwealth Fusion Systems, a pioneering company in fusion energy technology, is seeking an Enterprise Cloud Data Engineer to join their mission of delivering the urgent transition to fusion energy. Since 2018, they've secured over $2 billion in capital, positioning them as a leader in the US fusion energy sector.

The role combines traditional data engineering with cutting-edge AI applications, offering a unique opportunity to grow into a senior position while working on revolutionary energy technology. The position requires expertise in ETL/ELT development, data pipeline construction, and implementation of AI solutions, particularly in Generative AI and Large Language Models.

As an Enterprise Cloud Data Engineer, you'll be responsible for designing and maintaining robust data pipelines, collaborating with cross-functional teams, and implementing AI-driven solutions. The role involves working with modern data warehouse platforms, ETL tools, and programming languages like Python and SQL. You'll be at the forefront of implementing innovative solutions using Generative AI and LLMs to automate workflows and unlock insights from unstructured enterprise data.

The ideal candidate brings 2+ years of experience in data engineering, strong technical skills, and excellent problem-solving abilities. The position offers competitive compensation ($70,000-$120,000) plus equity, comprehensive benefits including health insurance and 401(k) matching, and the opportunity to work in a hybrid environment. This is an excellent opportunity for a data professional looking to make a significant impact in the clean energy sector while working with cutting-edge technology.

The company values diversity and maintains an inclusive work environment, considering all qualified applicants equally regardless of background. The role combines the excitement of a fast-paced startup environment with the stability of a well-funded organization, making it an ideal opportunity for someone looking to advance their career in data engineering while contributing to groundbreaking clean energy technology.