Commonwealth Fusion Systems is looking to deliver the urgent transition to fusion energy by designing and building commercially viable fusion power plants, and they need a Cloud Data Engineer to help solve complex business problems and shape the future of the company.
Requirements
- 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, Google BigQuery
- Demonstrated expertise in ETL/ELT tools and frameworks, such as 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
- Experience with cloud-based data services and infrastructure (e.g., AWS, GCP, Azure)
- Experience with big data technologies like Apache Spark or Hadoop
- Familiarity with ML platforms or feature stores (e.g., SageMaker, Databricks, Feast)
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
Other
- 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
- Project management skills
- Great numerical and analytical skills
- Excellent problem-solving skills
