Analytics Engineer

Extend

10h•$138,750 - $161,250

About The Position

We'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.

Requirements

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.
Proficiency with API interaction and tools like Thunderclient or Postman.
Familiarity with reconciliation, financial audit preparation, and cross-system data integrity best practices.
Excellent communication skills and a collaborative approach to working across technical and non-technical teams.
Strong problem-solving mindset and the ability to proactively identify and address data inconsistencies.

Nice To Haves

Experience in a fast-paced startup or cross-functional environment is a plus.
Experience working with claims, reimbursements, or financial data operations.

Responsibilities

Build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
Own and improve the data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
Work closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data, acting as a connective link between technical and non-technical teams.
Ensure data integrity across systems and support internal and external audits through well-documented, traceable data practices.
Use tools like Thunderclient and Postman to interface with production systems, and help enhance integrations with Service Providers and Merchants to improve the timeliness and accuracy of claim expense reporting and payments.
Identify, investigate, and fix data quality issues, recommending process improvements to reduce errors and manual intervention, and help extend our data quality standards and operational analytics practices.