Analytics Engineer - Extend

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 are looking for an Analytics Engineer to join our Data Engineering team. This is a hybrid technical and operational role focused on ensuring data integrity across Extend’s financial and operational systems, especially within Claim Reimbursement and Contract Sales. You'll collaborate cross-functionally with Accounting, Operations, Reporting, and Engineering to ensure alignment between systems and help streamline processes that ensure our Servicers and Merchants are paid accurately and efficiently.

You’ll play a key role in shaping and scaling our data processes, contributing to reconciliation and audit readiness while building robust, well-documented pipelines in Snowflake and DBT. This position offers a high degree of autonomy and flexibility, perfect for someone who thrives in a fast-paced, systems-minded environment.

What You’ll Do:

What We’re Looking For:

Expected Pay Range: $135,000 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.

Our Culture:

At Extend, we have a collaborative, low-ego environment focused on building a robust, scalable, and profitable company. We value humility, continuous learning, and leadership at all levels. This is a place where you’ll lead and be led, teach and be taught, as we work together to tackle complex challenges.

Remote Work:

We are 100% remote, with team members located across the USA. While we respect work-life balance, collaboration during core hours is expected.

If you’re passionate about building resilient data platforms and enjoy working in a collaborative, remote-first environment, we encourage you to apply. Please include your resume and, in your application, describe your philosophy on layering data transformations and how it assists in an orderly data warehouse.

Life at Extend:

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Last updated: 18 hours ago

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