The University of Chicago Data Science Institute (DSI) is a hub for scholars, researchers, educators, and practitioners tackling the methodological, societal, and domain-specific challenges of our increasingly data-driven world. As a leader in the field, DSI drives cutting-edge research, fosters innovation in data education at all levels, and engages in meaningful partnerships with industry, government, and the broader community. The Research Software Engineer (RSE) will develop software to support DSI's research priorities and specific initiatives related to Data & Democracy and data science for social good. The RSE will collaborate with the software team and interdisciplinary research groups across the University of Chicago to develop new software products and build robust, scalable solutions for computational research and public impact projects. This role involves designing, developing, testing, and maintaining software, with an emphasis on high-quality, reusable code. The ideal candidate will have experience working with substantial existing codebases, strong problem-solving skills, and a keen interest in data-driven applications, machine learning, and artificial intelligence. This position is eligible for a partial remote work arrangement.