Enterprise Cloud Data Engineer

Location: Devens, MA Employment Type: Full-time Work Arrangement: Hybrid

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, they design and build commercially viable fusion power plants and work with policymakers and suppliers to build the energy industry of the future. Since 2018, they have raised nearly $3 billion in capital, making them the largest and leading private fusion company in the world.

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? 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 has a strong data engineering background and is ready to accelerate their career. You are 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 the 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 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:

Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
2+ years of professional experience in data warehousing, ETL/ELT development, and data modeling.
Expert-level proficiency in SQL including writing complex queries, stored procedures, and performing query optimization.
Strong experience with modern data warehouse platforms such as Snowflake, Amazon Redshift, Google BigQuery.
Demonstrated expertise in ETL/ELT tools/frameworks such as Apache Airflow, dbt, Informatica, Talend.
Proficiency in at least one scripting or programming language such as Python; understanding of libraries like Pandas or NumPy for data manipulation.
Project management skills.
Great numerical and analytical skills.
Excellent problem-solving skills.
Attention to detail; excellent written and verbal communication skills.
Agile mindset to provide solutions quickly with incremental value.

Bonus points for:

Experience with cloud-based data services/infrastructure (AWS, GCP, Azure).
Experience with big data technologies like Apache Spark or Hadoop.
Knowledge of data visualization/business intelligence tools like Tableau, Power BI or Looker.
Experience supporting machine learning initiatives including building pipelines for model training/serving.
Familiarity with ML platforms or feature stores (SageMaker, Databricks, Feast).
Familiarity with GenAI platforms such as AWS Bedrock or Gemini.
Exposure to Lowcode platforms such as Mendix or Appsheet.

Must-have requirements:

Ability to occasionally lift up to 50 lbs.
Perform activities such as typing, standing or sitting for extended periods.
Willingness to occasionally travel or work required nights/weekends/on-call.
Work in facility containing industrial hazards including heat/cold/noise/fumes/strong magnets/lead/high voltage/current/pressure systems/cryogenics.

Compensation & Benefits

Salary range: $70,000 - $120,000 per year (full-time position + equity + benefits). Actual salary depends on level/location/qualifications/experience. Benefits include: 3 Competitive compensation with equity 3 13 Company-wide Holidays 3 Flexible vacation days 3 10 sick days 3 Generous parental leave policy 3 Health dental & vision insurance 3 401(k) with employer matching 3 Professional growth opportunities 3 Team-building activities

Additional Information

At CFS they excel in fast-paced environments driven by values of integrity execution impact & self critique. They seek mission-driven individuals offering diverse perspectives. They are an equal opportunity employer considering all qualified applicants regardless of race/color/national origin/etc. This role requires compliance with U.S. Export Control Laws concerning controlled/protected technologies/information. Employment offers contingent on compliance. Remote Work Mention: Not explicitly stated; position is hybrid.