Commonwealth Fusion Systems · 4 months ago
Enterprise Cloud Data Engineer
Devens, MA
Full-time
Hybrid
Entry, Mid Level
$70K/yr - $120K/yr
2+ years expCommonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy. They are seeking an Enterprise Cloud Data Engineer to design and develop data pipelines, collaborate with stakeholders to create AI-driven solutions, and manage the data lifecycle for projects.
Clean EnergyElectrical DistributionEnergyEnvironmental EngineeringRenewable Energy
Responsibilities
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
Qualification
Required
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 a modern data warehouse platform such as [e.g., Snowflake, Amazon Redshift, Google BigQuery]
Demonstrated expertise in ETL/ELT tools and frameworks, such as [e.g., Apache Airflow, dbt, Informatica, Talend]
Proficiency in at least one scripting or programming language, such as Python, with an understanding of libraries like Pandas or NumPy for data manipulation
Project management skills
Great numerical and analytical skills
Excellent problem-solving skills
Have attention to detail and excellent communication skills, both written and verbal
Have an agile mindset to provide solutions quickly with an incremental value to customers
Ability to occasionally lift up to 50 lbs
Perform activities such as typing, standing, or sitting for extended periods of time
Willingness to occasionally travel or work required nights/weekends/on-call
Work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, high current, pressure systems, and cryogenics
Preferred
Experience with cloud-based data services and infrastructure (e.g., AWS, GCP, Azure)
Experience with big data technologies like Apache Spark or Hadoop
Some Knowledge of data visualization and business intelligence tools like Tableau, Power BI, or Looker
Experience in a data-centric role supporting machine learning initiatives, including building data pipelines for model training and serving
Familiarity with ML platforms or feature stores (e.g., SageMaker, Databricks, Feast)
Familiarity with GenAI platforms such as AWS Bedrock, Gemini
Exposure to Lowcode platforms such as Mendix, Appsheet
Benefits
Competitive compensation with equity
12.5 Company-wide Holidays
Flexible vacation days
10 sick days
Generous parental leave policy
Health, dental, and vision insurance
401(k) with employer matching
Professional growth opportunities
Team-building activities
Company
Commonwealth Fusion Systems
Commonwealth Fusion Systems designs and develops commercial fusion energy systems to produce clean energy.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$2.88BKey Investors
GoogleUS Department of EnergyTiger Global Management
2025-08-27Series B· $863M
2025-06-30Corporate Round
2024-06-06Grant· $15M
Leadership Team
Robert Mumgaard
Chief Executive Officer and Co-Founder
Martin Greenwald
Cofounder
Recent News
Crowdfund Insider
2026-01-22
2026-01-13
Company data provided by crunchbase