Analytics Engineer

Extend; United States; On-site; USD 138,750 - 161,250; Full time

Benefits offered by this job

Medical, dental & vision benefits

Stock options

Flexible paid time off

Job summary

Extend is seeking an Analytics Engineer to safeguard data integrity across financial and operational systems. You will craft reliable Snowflake/dbt pipelines, support reconciliation workflows, and partner with Accounting, Engineering, and Operations to align internal and external financial data.

This hands-on role emphasizes SQL and analytics engineering with clear ownership of reconciliation processes. You will interface with production systems using Thunderclient and Postman, drive data

Qualifications

• 2-4 years of experience as an Analytics Engineer, Data Engineer, or similar role.
• 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 cross-functional teams.
• Strong problem solving and proactive data quality mindset.
• Experience in a fast-paced startup or cross-functional environment is a plus.
• Bonus: experience with claims, reimbursements, or financial data operations.

Responsibilities

• Data Pipeline Development: build and maintain pipelines in Snowflake/dbt for auditable reconciliation.
• Claim Reimbursement & Contract Sales data workflows ownership and accuracy.
• Cross-Functional Partnership with Accounting, Engineering, Operations, and Reporting.
• Data Quality & Audit Readiness through traceable data practices.
• Integrations & APIs using Thunderclient and Postman to improve reporting and payments.
• Issue Investigation & Process Improvement to reduce errors and manual intervention.

Skills

SQL

Snowflake

dbt

API integration

Data reconciliation

Cross-functional collaboration

Problem solving

Tools

Thunderclient

Postman

Git

Job description

About Extend

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

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

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.

Key Responsibilities

• Data Pipeline Development. You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
• Claim Reimbursement & Contract Sales Ownership. You own and improve the data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
• Cross-Functional Partnership. 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.
• Data Quality & Audit Readiness. You ensure data integrity across systems and support internal and external audits through well-documented, traceable data practices.
• Integrations & APIs. 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.
• Issue Investigation & Process Improvement. 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.

Qualifications

• 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.

Expected Pay Range

$138,750 - $161,250 per year salaried*

• The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills, and experience.

Life At Extend

• 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.

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