Staff Software Engineer Energy Analytics

Arcadia; United States; On-site; USD 165,000 - 295,000; Full time

Benefits offered by this job

Remote first culture

Flexible PTO

11 annual holidays

Sick leave 10 days

Bereavement leave 2 weeks

Professional development days

Job summary

Arcadia is seeking a Staff Engineer for the Energy Analytics Squad to build web API and data pipeline solutions within the Arcadia Platform data ecosystem. You will contribute to electricity cost modeling and battery performance simulations, shaping economic insights for DER interventions like solar and storage.

The role emphasizes ownership, collaboration with SMEs, and clear requirement synthesis across squads. Arcadia supports a fully remote workforce with access to co-working spaces.

Qualifications

• Requires a Bachelor’s degree in CS or related field.
• 6+ years of software development experience at a SaaS or tech company.
• Experience building REST APIs and data pipelines.
• Proficiency in Python and enterprise Java (Spring).
• Experience deploying systems on AWS and familiarity with data science tools.

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 and implementation plans.
• Participate in peer technical design reviews to ensure maintainable code.
• Improve squad and organization-level engineering processes and best practices.
• Work with fully remote teams.

Skills

REST API development

Python

Java (Spring)

SQL data pipelines

AWS

AI/LLMs

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

DBT

Jupyter

Pandas

MongoDB

Job description

Who We Are

Arcadia is the AI-powered 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.

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.

Arcadia is open to fully remote candidates and employees have access to co-working spaces.

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

Celebrating Diversity and Inclusion

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.

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 [e-mail] 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 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.

Automated Screening

Arcadia uses AI-assisted technology to evaluate candidates on relevant skills, experience, and education as outlined in the job description. Human review is part of all hiring decisions. Candidates may request an alternative selection process by contacting [e-mail] before submitting your application.

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 or deletion of your data by contacting [e-mail].

• Visa Sponsorship
• Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team
• Other roles: Please note that we are unable to offer visa sponsorship for this position at this time

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