Data Engineer Spring Co-op_Spring 26
Found EnergyBoston, Massachusetts
Internship
Posted December 2, 2025
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Application opens on company website
Job Description
A Data Engineer Co-op responsible for building and maintaining data infrastructure to support the analysis and optimization of hydrogen generation systems and laboratory research at a clean energy technology company focused on sustainable industrial solutions.
Key Responsibilities
- Design, build, and maintain scalable data pipelines for pilot and lab systems data collection and processing
- Support experiment tracking, sample management, and characterization data ingestion for chemistry and materials science workflows
- Develop and optimize database schemas and storage solutions for structured and unstructured data
- Integrate data from sensors, control systems, and third-party APIs ensuring data quality and consistency
- Create dashboards and visualizations to monitor system performance and support data-driven decision-making
- Develop algorithms for data analysis, including trend detection, anomaly identification, and predictive modeling
- Ensure data security, integrity, and compliance with standards
- Document data workflows, pipelines, and technical procedures
Requirements
- Pursuing a degree in Computer Science, Data Engineering, Software Engineering, Applied Math, or a related field.
- Familiarity with programming languages such as Python and SQL.
- Experience with data processing frameworks such as Pandas, Apache Spark, or similar.
- Knowledge of relational databases e.g., PostgreSQL, MySQL.
- Familiarity with cloud platforms e.g., AWS, Azure, or Google Cloud and their data engineering tools.
- Understanding of data visualization tools e.g., Tableau, Power BI, or Matplotlib.
- Experience with version control systems like Git and collaborative workflows.
- Ability to understand scientific data structures, such as experiment logs, sample metadata, or characterization results.
- Familiarity with basic chemistry or lab workflows e.g., wet lab experiments, sample preparation, or analytical instrumentation is a plus.
- Strong analytical, problem-solving, and communication skills.
Benefits & Perks
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