Analytics Engineer

Extend

Analytics Engineer ensuring data integrity across financial and operational systems at Extend. Collaborating with cross-functional teams to build reliable data pipelines and maintain reconciliation workflows.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $138,750 - $161,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines using Snowflake and dbt, ensuring data integrity and reconciliation across financial systems. Proficient in SQL and API interactions, with strong communication skills to collaborate effectively between technical and non-technical teams.

Highest-signal resume keywords

SnowflakeDbtSQLAPI InteractionData Reconciliation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Quality AssuranceFinancial TrackingOperational AnalyticsData Integrity Best Practices

Soft Skills

Excellent CommunicationCollaborative ApproachProblem-Solving Mindset

Tools & Technologies

ThunderclientPostman

Industry Keywords

Claim ReimbursementFinancial Audit PreparationCross-System Data IntegrityFast-Paced Startup Environment

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
You own and improve the data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
You 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.
You ensure data integrity across systems and support internal and external audits through well-documented, traceable data practices.
You 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.
You 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.

Requirements

What you’ll need

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

Benefits

Comp & perks

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.