Staff Software Engineer, Energy Analytics

About the role

Arcadia is the energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability - across every location, at enterprise scale. Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon. We deliver this through three comprehensive solutions: Utility Bill Management: Automating the entire utility bill lifecycle - from data capture and validation to payment processing and auditing. Energy Procurement Advisory : Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. . Sustainability Reporting - Verified emissions data with seamless integration into leading sustainability platforms. Tackling the world's most complex energy challenges requires diverse thinking. We're building teams of people from different backgrounds, industries, and disciplines - united by a belief that energy management should be simple, intelligent, and a genuine driver of business value.

Responsibilities

• 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

Requirements

• 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)
• The preferred candidate will also demonstrate:
• 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
• Eliminating carbon footprints, eliminating carbon copies.
• Please note that we are unable to offer visa sponsorship for this position at this time.
• Target Annual Compensation Range for this role will be $165,000 to $295,000. There will also be a competitive benefits component to

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