Commonwealth Fusion Systems (CFS) has the fastest, lowest cost path to commercial fusion energy.
CFS is collaborating with MIT to leverage decades of research combined with new groundbreaking high-temperature superconducting (HTS) magnet technology. HTS magnets will enable compact fusion power plants that can be constructed faster and at lower cost.
The mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. CFS has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by the world’s leading investors, CFS is uniquely positioned to deliver limitless, clean, fusion power to combat climate change.
If you are interested in joining our team, check out cfs.energy/careers for more information.
Commonwealth Fusion Systems (CFS) has the fastest, lowest cost path to commercial fusion energy.
CFS is collaborating with MIT to leverage decades of research combined with new groundbreaking high-temperature superconducting (HTS) magnet technology. HTS magnets will enable compact fusion power plants that can be constructed faster and at lower cost. The mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. CFS has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by the world’s leading investors, CFS is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. To execute this plan, we are looking to add talented people to the team who are mission-driven and treat people well, improve our team by adding diverse perspectives and new ways of solving problems, have demonstrated exceptional results through a range of different pursuits, and have skill sets and experience that relate to this role.
The Data Engineer is an exceptional data professional with a proven track record of excellent problem-solving skills. The Data Engineer will work in a variety of settings to build data pipelines and extract information from various systems and convert it into usable information for business needs. The ideal candidate is an experienced data enthusiast, has worked with various databases, and enjoys developing and optimizing methods to rapidly deploy quality data products.
CFS team members thrive in a fast-paced, dynamic environment and have demonstrated exceptional results through a range of different pursuits. We all tightly align with our company values of integrity, execution, impact and self-critique. As we grow, we are looking to add talented people who are mission driven and bring diverse perspectives and new ways of solving problems.
At CFS, we deeply value diversity and are an equal opportunity employer by choice. We consider all qualified applicants equally for employment. We do not discriminate on the basis 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, ordinance, or regulation.
This team member will:
Create and maintain end to end data pipeline products on serverless cloud data tech stackAssemble large, complex data sets and deploy them for reusable and rapid data pipeline deploymentCreate and maintain knowledge base documentation for data productsBuild analytical tools that utilize the data pipeline to provide actionable insights to business usersUtilize ETL software like Informatica and Talend to create and maintain data pipeline jobsDevelop algorithms to transform data into useful, actionable informationDevelop data jobs which enable central and open CFS Data Warehousing/Data Lake/Data Mesh solutionsCreate needed data validation methods and data analysis toolsEnsure compliance with data governance and security policies adopted at CFSDevelop big data solutions using cloud technologies such as AWS EMR and GCP BigQueryPerform all other duties as assignedThe ideal candidate will have most, if not all, of these requirements:
Bachelor's degree in an IT-related field or equivalent experience in data engineering.Exceptional technical knowledge of cloud agnostic data pipeline tools and technologiesProven experience as a data engineer in a fast paced, dynamic and growing environmentExperience with designing and building data pipelines using specialized languages such as R, SQL, Python and CExperience with ETL toolsKnowledge of relational basesAWS and GCP certificationGreat numerical and analytical skillsPossess excellent problem-solving skillsHave attention to detail and excellent communication skills, both written and verbal to provide updates on Applications and projects statusHave an agile mindset to provide solutions quickly with an incremental value to customersAdditional experience and/or qualifications:
Experience with integration toolsExperience as data analyst/business analystExperience as a database administrator is welcomeAbility to lift up to 50lbs occasionallyPerform activities such as typing, standing, and sitting, for extended periods of timeWorking with appropriate PPE in the presence of hazards such an exposure to heat, Willingness to travel occasionally