Staff Software Engineer

Arcadia

24d•$165,000 - $295,000•Remote

About The Position

Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions including: Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting. Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals. Sustainability Reporting: Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms. Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia! 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.

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)

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

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

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