Data Engineer

About this role

Arbor is seeking a Data Engineer to build and maintain the data infrastructure powering their AI-driven electricity marketplace. You'll own the full pipeline from ingestion through Snowflake transformations, deliver analytics that inform pricing and marketplace decisions, and help integrate AI into data workflows.

What you'll do

• Design and maintain data pipelines ingesting from GCP production systems and Fivetran into Snowflake
• Own the dbt transformation layer for energy market data, customer events, and utility rate feeds
• Build dashboards and analytics in Hex to surface insights for business stakeholders
• Define data contracts and schema standards to ensure data reliability at scale
• Partner with engineering and leadership to deliver analytics on pricing, customer behavior, and marketplace performance
• Explore AI-assisted approaches to data quality monitoring and development automation

What they're looking for

• dbt modeling and data transformation
• SQL and Snowflake (schema design, query optimization)
• Data pipeline development (Fivetran, custom pipelines)
• Dashboard tools (Hex, Looker, or similar)
• Python for data engineering or quality tooling
• GCP data services (BigQuery, Cloud Storage, Pub/Sub)
• Data testing and documentation practices
• AI tools for development acceleration

Benefits

• Competitive salary
• Meaningful equity
• Health and other benefits
• Remote-friendly with flexibility (near DC preferred)
• High ownership on a lean, fast-moving team
• Opportunity to shape AI integration in data workflows