Data Engineer – Clean Energy & Advanced Materials
🌎 Fully Remote (US-based)
About the Company
Our client is a fast-growing materials and energy technology company developing next-generation solutions to make batteries more efficient, sustainable, and affordable. Their innovations are already being used to enhance performance across a wide range of energy storage systems - from portable devices to electric vehicles.
They’re now expanding their data and analytics capabilities to better understand and optimize battery behavior through smarter data engineering, predictive modeling, and process automation.
About the Role
We’re looking for a Data Engineer with a passion for clean energy, data science, and advanced analytics. You’ll work with a cross-functional team of scientists and engineers to manage and interpret experimental and production data, build automation pipelines, and develop predictive models that improve battery performance and manufacturing processes.
This is a fully remote role with collaboration across multiple technical domains - ideal for someone who enjoys applying data engineering skills to real-world sustainability challenges.
Key Responsibilities
- Build and maintain automated data pipelines integrating test, manufacturing, and sensor data.
- Clean, validate, and structure large experimental datasets for analysis and reporting.
- Develop machine learning and statistical models to predict battery performance, degradation, and reliability.
- Create dashboards and visualizations that turn complex datasets into actionable insights for R&D and operations.
- Work with engineers and scientists to define data requirements and ensure accuracy and traceability across projects.
- Contribute to the development of best practices for data collection, version control, and metadata management.
What We’re Looking For
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related technical field.
- Strong proficiency in Python and SQL for data analysis and automation.
- Experience with machine learning, data wrangling, and ETL pipeline development.
- Understanding of experimental or sensor data (e.g., test data, time series, or multivariate systems).
- Excellent communication skills and ability to collaborate across R&D, production, and quality teams.
Bonus Skills:
- Experience in battery technology, energy systems, or manufacturing analytics.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data visualization tools.
- Knowledge of predictive modeling, simulation integration, or real-time monitoring systems.
Why This Role?
- Join a rapidly growing startup shaping the future of sustainable energy and materials innovation.
- Work with cutting-edge data in a domain where your insights directly impact real-world product performance.
- Collaborate with leading scientists and engineers in an environment that encourages creativity, learning, and ownership.
- 100% remote flexibility with opportunities to grow your career in a high-impact, purpose-driven company.
