Found Industries - Data Engineer Co-op
Requirements
• 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, TypeScript, 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.,Grafana, 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. • Ability to work in a multidisciplinary environment, collaborating with hardware, software, and chemical engineers. • Strong analytical, problem-solving, and communication skills. • Experience with time-series databases (e.g., InfluxDB, TimescaleDB). • Experience working in a scientific or research lab environment • Exposure to data generated from chemistry, materials science, or analytical instruments (e.g., ICP-OES, XRF, XRD, SEM/EDS, TGA). • Exposure to IoT devices and edge computing. • Familiarity with basic chemistry or lab workflows (e.g., wet lab experiments, sample preparation, or analytical instrumentation) is a plus. • Found Industries does not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, subcontractors, vendors, and clients.
Responsibilities
• Design, build, and maintain scalable data pipelines to collect and process real-time and historical data from pilot systems and lab systems. • Work directly and cross functionally with materials science, chemical engineering, and mechanical engineering departments to determine workflows and build tools for experiment tracking, sample management, and characterization data ingestion. • 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.
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