Enterprise Cloud Data Engineer at Commonwealth Fusion Systems

Massachusetts, United States

Apply Now

Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Fusion Energy, ManufacturingIndustries

Requirements

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 Snowflake, Amazon Redshift, or Google BigQuery
Demonstrated expertise in ETL/ELT tools and frameworks, such as Apache Airflow, dbt, Informatica, or 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

Responsibilities

Design, develop, and maintain robust, scalable data pipelines to support both enterprise analytics and the entire machine learning lifecycle (ETL/ELT Development)
Collaborate with stakeholders across operations, supply chain, finance, and engineering to translate complex business challenges into actionable data requirements and AI-driven solutions (Business 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 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
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) (AI/ML-Related Responsibilities)
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
Integrate data governance for key enterprise apps

Skills

Key technologies and capabilities for this role

ETLELTData PipelinesCloud Data EngineeringAIGenerative AIMachine LearningAnalyticsScalable Pipelines

Questions & Answers

Common questions about this position

What is the employment type for this position?

This is a full-time position.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What key skills are required for the Enterprise Cloud Data Engineer role?

The role requires strong data engineering background, experience with ETL/ELT development for scalable data pipelines, proficiency in cloud data engineering, and skills in AI/ML including Generative AI, LLMs, RAG, and vector databases.

What is the company culture like at Commonwealth Fusion Systems?

The company fosters a dynamic, fast-paced environment that values thinkers, doers, builders, and makers who bring new perspectives, solve tough problems, thrive in teams, and propose new technologies.

What makes a strong candidate for this Data Engineer position?

A strong candidate has a solid data engineering foundation, is passionate about AI and Generative AI, excels in a fast-growing manufacturing environment, and can collaborate across teams to solve complex business problems.

Commonwealth Fusion Systems

Develops and commercializes fusion energy systems

About Commonwealth Fusion Systems

Commonwealth Fusion Systems focuses on developing fusion energy as a clean and sustainable power source. The company utilizes advanced magnet technology, created in partnership with MIT, to build smaller and more affordable fusion systems called tokamaks. These devices use magnetic fields to confine plasma in a toroidal shape, which is an effective method for achieving fusion. Currently, CFS is manufacturing high-temperature superconducting magnets and constructing SPARC, the first commercially-relevant net energy fusion machine. The success of SPARC is intended to lead to the development of ARC, the first fusion power plant. CFS differentiates itself from competitors by its commitment to scientific integrity and a mission-driven approach, focusing on delivering cost-competitive fusion energy to help combat climate change. The ultimate goal is to provide a reliable and abundant energy source for energy providers and industries that require significant power.

Harvard, MassachusettsHeadquarters

2018Year Founded

$1,958.7MTotal Funding

GRANTCompany Stage

EnergyIndustries

501-1,000Employees