As a Software Engineer at Palmetto, you will collaborate closely with our product and engineering teams to help our customers take control of their energy. Your primary focus will be to develop and maintain our suite of APIs and data applications, which are integral to our photovoltaic (PV) yield estimation and whole-home energy modeling capabilities. In this role, you will be responsible for writing efficient and scalable code that ensures the reliability and performance of these systems. You will also actively contribute to the creation and refinement of new algorithms and modeling techniques. Your work will directly impact our ability to provide customers and partners with valuable energy insights and actionable recommendations, helping them make informed decisions about energy consumption.

• Build and maintain scalable software systems that drive our energy modeling processes.
• Collaborate closely with data scientists to integrate prototype models and algorithms into production systems.
• Package and containerize applications to make them deployment-ready, ensuring seamless integration and scalability across environments.
• Monitor deployments and ensure the smooth operation of software in production, proactively identifying and resolving issues.
• Build and optimize data pipelines to ensure efficient and reliable access to large datasets.
• Contribute to the code review process, provide constructive feedback to peers.

• Advanced proficiency in Python or other object-oriented programming languages, with a demonstrated ability to write clean, maintainable, and well-documented code.
• Experience with DevOps practices, including CI/CD pipelines, containerization (e.g., Docker), and cloud computing platforms (e.g., AWS, GCP, Azure).
• Experience designing and building APIs, with an understanding of RESTful principles.
• Knowledgeable about software engineering best practices, including version control, code review, and testing.
• Ability to navigate ambiguity and thrive in a fast-paced environment.

• Experience with one of Python's web frameworks (e.g., FastAPI, Django, Flask) and ORM libraries, or experience with other web application frameworks (e.g., Ruby on Rails).
• Strong quantitative background with a knack for algorithmic thinking
• Knowledge of Python's data science and geospatial stacks (e.g., Pandas, NumPy, Matplotlib, Seaborn, GeoPandas, Shapely, Rasterio).
• Familiarity with modern front-end frameworks (e.g., React, Angular, Vue) and build tools (e.g., Webpack, Typescript, Babel).
• Proficiency in SQL with experience in relational databases.
• Experience working in the clean energy space, or with home energy data.