Arbor is a smart energy platform that helps you automatically lower your electric rate on an ongoing basis. Customers who switch save an average of $544 per year.

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Focus: Mitigation or Adaptation

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Climate Solutions

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Automated platform to lower electric rates and save money while reducing environmental impact.

About ArborArbor is building an intelligent electricity marketplace to power an abundant electric future. As AI data centers drive a surge in electricity demand, millions of homes and businesses remain trapped with 20th century monopoly interfaces, overpaying by billions while cheap renewable energy goes to waste. Our AI-powered platform aggregates users to unlock wholesale pricing, automatically switches between the best rates, and optimizes usage to align with prices in real-time—delivering the same market advantages that were previously exclusive to Fortune 500 companies. We've raised over $20 million from leading investors and have saved over $12 million for more than 100,000 homes and businesses.The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and the insights that drive pricing decisions, marketplace performance, and customer outcomes. Our data stack is modern, consolidated, and still maturing — which means you'll have real ownership over how it evolves, not just tickets to close.This is a high-impact, high-ownership role on a lean team. We move fast, and we expect you to bring the same AI-first development mindset we apply across the entire engineering organization.What You'll DoBuild and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt transformation layer end-to-end — modeling energy market data, customer lifecycle events, marketplace results, and utility rate feeds into clean, reliable, and well-documented data assets.You'll partner closely with engineering, operations, and leadership to deliver analytics that directly inform business decisions — rate monitoring, supplier pricing trends, customer switching patterns, and marketplace performance. You'll work in Hex to build and maintain dashboards that surface actionable intelligence for non-technical stakeholders, and you'll help define data contracts and schema standards that make our Snowflake environment trustworthy as we scale.You'll also play a meaningful role in shaping how we use AI in our data workflows — whether that's automating data quality monitoring, accelerating development with AI-assisted SQL and Python, or surfacing anomalies in complex regulatory data feeds.What You Bring3–6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar).Strong dbt fundamentals — you know how to design models that are maintainable, not just functional. You think about testing, documentation, and downstream consumers as part of the job, not afterthoughts. Solid SQL is a given; Python for pipeline development or data quality tooling is a plus.Hands-on experience with Snowflake, including schema design, query performance, and understanding the cost/performance tradeoffs of how data is structured and accessed. Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our infrastructure footprint.Experience building dashboards for business stakeholders in tools like Hex, Looker, or similar. You know the difference between a dashboard that gets used and one that doesn't.Energy markets or regulated industry experience is not required, but genuine curiosity about how electricity pricing, competitive markets, and the grid work will make this role more interesting to you.An AI-native approach to your own productivity — you're actively using AI tools to accelerate development and aren't waiting for someone to tell you to start.Compensation &amp; Work Setup Competitive salary + meaningful equity + benefits. We're flexible on location but value regular in-person collaboration with the team.

Data Engineer

About ArborArbor helps renters, homeowners, and small businesses pay less for electricity. Behind the scenes, Arbor is building an intelligent electricity marketplace to power an abundant electric future. As AI data centers drive a surge in electricity demand, millions of homes and businesses remain trapped with 20th century monopoly interfaces, overpaying by billions while cheap renewable energy goes to waste. Our AI-powered platform aggregates users to unlock wholesale pricing, automatically switches between the best rates, and optimizes usage to align with prices in real-time—delivering the same market advantages that were previously exclusive to Fortune 500 companies. We've raised over $20 million from leading investors and have saved over $7.5 million for tens of thousands of homes and businesses.The OpportunityWe're looking for a backend-focused engineer to join our lean, high-leverage engineering team building the infrastructure that powers our energy marketplace. You'll work across our platform—from rate monitoring systems that track complex utility pricing across deregulated markets, to the marketplace orchestration that matches customers with optimal suppliers. This is a high-ownership role where you'll ship production systems, not just features, and where AI-augmented development practices are the norm.What You'll Do<ul style=""><li>Design and build scalable backend services that power our core marketplace platform</li><li>Develop and maintain cloud infrastructure on GCP using Terraform, ensuring reliability and cost efficiency as we scale</li><li>Build integrations with utility data sources, supplier APIs, and third-party services across multiple energy markets</li><li>Create robust data pipelines for real-time rate monitoring and market intelligence</li><li>Partner with product and cross-functional partners to translate system and supplier needs into high-performing, resilient experiences. Take product ownership on select features and projects when necessary</li><li>Collaborate closely with a small team where your code ships fast (multiple daily prod deploys) and your architectural decisions matter</li><li>Leverage AI tools and workflows and uplevel the team around you</li></ul>What You Bring<ul style=""><li>5+ years of backend engineering experience with production systems at scale</li><li>Strong JavaScript/TypeScript expertise: Node.js for backend services, familiarity with Nest.js a plus</li><li>Hands-on experience managing cloud environments including serverless and event driven systems built on native cloud tooling (GCP experience preferred)</li><li>Terraform proficiency for infrastructure-as-code; you've managed real cloud environments, not just tutorials</li><li>Comfort with databases (SQL, ideally Postgres), API design, and async processing patterns</li><li>AI fluency: you actively use AI coding tools and are eager to push the boundaries of AI-augmented development</li><li>Bias toward shipping; you thrive in environments with ambiguity and move fast without sacrificing quality</li><li>Interest in energy, climate tech, or marketplace products is a strong plus</li></ul>Compensation &amp; Work Setup<ul style=""><li>Competitive salary + meaningful equity + benefits</li><li>Remote-friendly with occasional in-person collaboration as needed</li></ul>

Arbor

Company Description

Sectors

Climate Solutions

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Sectors

Climate Solutions

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