Staff Software Engineer

Who We Are

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!

What we’re looking for:

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.

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

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)

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.

Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law.

Please note that we are unable to offer visa sponsorship for this position at this time.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing careers@arcadia.com prior to completing your application..

Target Annual Compensation Range for this role will be $165,000 to $295,000. There will also be a competitive benefits 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.

Automated Screening Technology:

To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education).

Please Note:

Automated tools provide recommendations based on your resume content and application questions. While we may use automated screening for basic eligibility (e.g., visa status, location),

employment decisions regarding qualifications are not made solely by AI without human oversight.

Data Privacy & California Residents:

You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting careers@arcadia.com

Thank you