This interdisciplinary project seeks to advance new approaches to teaching and learning data-driven design as a way of engaging young learners in STEM related skills. The project will iteratively develop and pilot a portable prototype that engages high school learners in energy modeling through augmented reality (AR) simulations. The simulations will be equipped with data-driven models and tools that can visualize the effects of design decisions and support young learners with energy efficient designs. Energy education is a key driver of innovation in STEM fields and is essential skill to addressing the global challenge of climate change. Current energy modeling tools and data are not accessible to young learners. This project situates the learning of these skills within the context of built environments, where data on energy consumption and conservation are relatable and tangible for young learners. Through accessible simulation data and visualizations to reveal hidden spatial relationships and interactions, the project aims to help learners use data to inform their design decisions by modeling and visualizing energy efficiency in a real-world scenarios (E.g., libraries, schools and homes). The broader goal is to equip young learners with skills, and ways of thinking so that they can strategize energy-efficient solutions much needed in STEM fields in the 21st century. This goal leverages data science for societal impact and focuses on teaching essential skills by infusing data in design through technology.