Staff Software Engineer (Energy Analytics)

Join Arcadia, a leading clean energy technology company, as a Staff Software Engineer in the Energy Analytics Squad. In this role, you will build web API and data pipeline solutions integrated within the larger Arcadia Platform data ecosystem. You will contribute to electricity cost modeling products and mathematical battery performance simulations, providing economic insights necessary for tackling the climate crisis. The ideal candidate will have experience in software development, deep domain knowledge in the energy industry, and a collaborative mindset. Enjoy flexible PTO, comprehensive benefits, and a remote-first culture.

• Contribuer de manière significative à l'API RESTful de modélisation des coûts d'électricité et à la construction de pipelines de données DBT.
• Traduire les exigences des produits et des experts en la matière en conceptions, spécifications et plans de mise en œuvre prêts pour l'ingénierie.
• Participer aux sessions de révision technique de conception entre pairs pour garantir un code efficace et maintenable.
• Experience with Python and enterprise Java (Spring, Spring Boot preferred)
• Experience building SQL data pipelines (Snowflake + DBT preferred)
• Deployed systems on AWS or similar
• Bachelor’s degree in Computer Science or related field required
• Experience building REST API’s
• Strategic AI Expertise: Demonstrated experience of adoption and implementation of LLMs
• Experience with NoSQL databases (Mongo preferred)
• Experience with a Python data science ecosystem (Jupyter, Pandas, Streamlit, etc.)
• 6+ years of software development experience at a SaaS or technology company
• Demonstrated ability to impart organizational-level impact
• Experience designing, operating, and troubleshooting large web API systems at scale (your metrics should be measured with an M, G, or T)
• Experience working in the energy or similar industry requiring deep domain knowledge
• Experience working with Kubernetes and containerized platforms (Argo orchestration preferred)
• Front-end experience in React