Analytics Engineer
Quick Summary
Data Pipeline Development. You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
2-4 years of experience as an Analytics Engineer, Data Engineer, or in a similar role focused on operational data systems. Strong SQL skills and hands-on experience with Snowflake and dbt.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role
~1 min readWe're looking for an Analytics Engineer to help ensure data integrity across Extend's financial and operational systems. This architecture powers reconciliation, audit readiness, and payment accuracy for the Servicers and Merchants we work with. This is a cross-functional role. You'll partner with Accounting, Operations, Reporting, and Engineering to align internal and external financial data, and build well-documented, reliable pipelines in Snowflake and dbt. It's a hands-on role anchored in SQL and analytics engineering, with real ownership over the reconciliation workflows you support.
Responsibilities
~1 min readRequirements
~1 min read- Working with a great team from diverse backgrounds in a collaborative and supportive environment.
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Generous, flexible paid time off policy.
- 401(k) with Financial Guidance from Morgan Stanley.
Location & Eligibility
Listing Details
- Posted
- July 22, 2026
- First seen
- July 22, 2026
- Last seen
- July 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- July 22, 2026
Signal breakdown

Extend is an AI-native document processing platform that enables technical teams to extract structured data from complex documents with over 95% accuracy.
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