Principal Data Engineer

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. The platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside fraud detection. Extend works with over 1,000 merchant partners across various industries and is headquartered in San Francisco.

Location: San Francisco, CA, USA

Responsibilities

• Own the analytics data architecture, including the data warehouse and reporting layer.
• Develop and maintain SQL and dbt models, refactoring transformations and building downstream tables and views.
• Engage with cross-functional teams to understand data creation and usage, identify gaps, and guide solutions.

Requirements

• Strong experience with Snowflake, SQL, and dbt.
• Hands-on experience with Python data jobs on AWS.
• Experience designing and evolving data warehouse architectures.
• Ability to collaborate across teams including product engineering, architecture, and analytics.