Data Engineering

Arbor is building an intelligent electricity marketplace aimed at optimizing electricity usage and pricing. They are seeking a Data / Analytics Engineer to manage data infrastructure that supports their AI-powered platform, focusing on analytics that inform critical business decisions.

Responsibilities:

• Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake
• 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
• 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
• Work in Hex to build and maintain dashboards that surface actionable intelligence for non-technical stakeholders
• Help define data contracts and schema standards that make our Snowflake environment trustworthy as we scale
• Shape 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

Requirements:

• 3–6+ 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
• 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
• 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
• 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