Data Engineer

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About this role

Data Engineer Remote, near DC About Arbor 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 $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 Do Build 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

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