We are seeking a Staff Engineer for our Energy Analytics Squad to build web API and data pipeline solutions integrated within the larger Arcadia Platform data ecosystem. The Energy Analytics group builds electricity cost modeling products and mathematical battery performance simulations that calculate the ROI for DER interventions like solar and storage, providing the economic insights necessary to show that clean energy technologies are the most cost-effective options for tackling the climate crisis. Our core expertise requires defining calculations and optimizations against esoteric and often fuzzy data. You will approach your work with a collaborative and exploratory mindset, attention to detail, and a proven ability to wrangle stakeholders across squads. Demonstrated experience executing on collaborative software engineering projects in an industry requiring deep domain knowledge. Requirements synthesis and clarity of communication is important: the ideal candidate will have demonstrated ownership of modules developed in collaboration with Subject Matter Experts. Arcadia is open to fully remote candidates and employees have access to co-working spaces. What you'll do: • Make meaningful contributions to the industry-leading electricity cost modeling RESTful API • Build out DBT data pipelines that simulate electricity costs nationwide • Translate product and SME requirements into engineering-ready designs, specifications, and implementation plans • Participate in peer technical design review sessions to ensure efficient and maintainable code • Improve squad and organization-level engineering processes and establish best practices • Work with fully remote teams What will help you succeed: Must-haves • Bachelor's degree in Computer Science or related field required • 6+ years of software development experience at a SaaS or technology company • Experience building REST API's • Experience with Python and enterprise Java (Spring, Spring Boot preferred) • Experience building SQL data pipelines (Snowflake + DBT preferred) • Deployed systems on AWS or similar • Strategic AI Expertise: Demonstrated experience of adoption and implementation of LLMs • Demonstrated ability to impart organizational-level impact • Experience with a Python data science ecosystem (Jupyter, Pandas, Streamlit, etc.) • Experience with NoSQL databases (Mongo preferred) Nice-to-haves: • 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 Benefits: • "Remote first" culture - work anywhere in the continental US as long as you have a reliable internet connection • Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year • 11 annual holidays • 10 days sick leave • Up to 2 weeks bereavement leave • 2 volunteer days off • 2 professional development days off • Parental Leave Benefits for ALL parents • 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents • A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency Target Annual Compensation Range for this role will be $165,000 to $295,000. There will also be a competitive benefits and equity (bonus if applicable) component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time.