Arbor is hiring a Data Engineer

Job Title: Data Engineer

Company: Arbor

The Data Engineer will own the data infrastructure that powers Arbor's intelligence layer, serving as the connective tissue between production systems and business-critical insights. This high-impact, high-ownership role involves building and maintaining end-to-end data pipelines, transforming complex energy and customer data into reliable assets, and enabling data-driven decisions across pricing, marketplace performance, and customer outcomes.

• Build and maintain data pipeline infrastructure spanning ingestion through Fivetran and custom pipelines from GCP production systems into Snowflake
• Own the dbt transformation layer end-to-end, modeling energy market data, customer lifecycle events, marketplace results, and utility rate feeds
• Create clean, reliable, and well-documented data assets
• Partner with engineering, operations, and leadership to deliver analytics that inform business decisions including rate monitoring, supplier pricing trends, customer switching patterns, and marketplace performance
• Build and maintain dashboards in Hex to surface actionable intelligence for non-technical stakeholders
• Help define data contracts and schema standards to ensure trustworthiness of the Snowflake environment as the company scales
• Play a meaningful role in shaping how AI is used in data workflows, including automating data quality monitoring, accelerating development with AI-assisted SQL and Python, and surfacing anomalies in complex regulatory data feeds

• 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 with a focus on designing maintainable models
• Thinking about testing, documentation, and downstream consumers as core responsibilities
• Solid SQL skills

• Python for pipeline development or data quality tooling
• Hands-on experience with Snowflake, including schema design, query performance, and understanding cost/performance tradeoffs of data structure and access
• Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub)
• Experience building dashboards for business stakeholders in tools like Hex, Looker, or similar
• Understanding the difference between a dashboard that gets used and one that doesn't
• Genuine curiosity about electricity pricing, competitive markets, and the grid
• An AI-native approach to personal productivity using AI tools to accelerate development

dbt, Snowflake, Fivetran, GCP, BigQuery, Cloud Storage, Pub/Sub, Hex, SQL, Python

• Competitive salary
• Meaningful equity
• Benefits
• Flexible on location
• Value regular in-person collaboration with the team

Hybrid. Flexible on location but value regular in-person collaboration with the team.

• AI-first development mindset
• Move fast
• High ownership
• Expectation to bring initiative in using AI tools for productivity