Job Overview:

Found Energy is at the cutting edge of hydrogen generation technology, pioneering systems that have the potential to revolutionize energy solutions worldwide. As we scale our reactor systems to support our minimum viable product (MVP) and commercial pilot demonstrations, we are building data infrastructure and analytics capabilities to support operational insights, optimization, and decision-making.

As a Data Engineer Co-op, you will be instrumental in building and maintaining the data infrastructure necessary to analyze and improve our reactor systems. You will work closely with our R&D, automation, and engineering teams to collect, organize, and analyze data generated by our systems. Your work will help drive efficiency, reliability, and scalability in our operations, playing a key role in advancing our mission to create impactful climate technologies.

Co-op Duration: 6 months, with potential extension. July 2025 - December 2025

Responsibilities and Duties:

• • Design, build, and maintain scalable data pipelines to collect and process real-time and historical data from reactor systems and subsystems.
  • Develop and optimize database schemas and storage solutions for structured and unstructured data.
  • Integrate data from diverse sources, including sensors, control systems, and third-party APIs, ensuring data quality and consistency.
  • Collaborate with automation and R&D teams to define data requirements for system monitoring and performance analysis.
  • Create dashboards and visualizations to monitor system performance, enabling data-driven decision-making.
  • Develop and implement algorithms for data analysis, including trend detection, anomaly identification, and predictive modeling.
  • Ensure data security, integrity, and compliance with company and industry standards.
  • Participate in design reviews and contribute to the development of best practices for data engineering processes.
  • Document data workflows, pipelines, and technical procedures.

  Qualifications:

  • Passionate about climate tech and its potential to impact the world.
  • 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 work in a multidisciplinary environment, collaborating with hardware, software, and chemical engineers.
  • Strong analytical, problem-solving, and communication skills.

  Preferred Skills (Not Required):

  • Experience with time-series databases (e.g., InfluxDB, TimescaleDB).
  • Familiarity with machine learning or statistical modeling.
  • Knowledge of data communication protocols, such as MQTT or OPC-UA.
  • Exposure to IoT devices and edge computing.