# Senior Analytics Engineer at Extend

> Remote · United States · Senior · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aextend%3A6250516004 (read 2026-11-06).

## Facts (observed)

- Company: [Extend](https://alderhq.app/companies/extend)
- Location text: Remote; Remote, US
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Remote; Remote, US")
- Posted: 2026-11-06 (0 days ago)
- First seen by alder: 2026-11-06 · last verified: 2026-11-06
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/extend/jobs/6250516004
- Skills listed (inferred): AWS, Snowflake, dbt, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 146): p25 $164k, median $185k, p75 $205k

## Description (the employer's text)

### 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

Extend provides product and shipping protection to merchants and their customers, supporting the data and systems behind protection plans, claims, and payments.

You will design, build, and improve the data pipelines, integrations, and foundational data models that power Extend's analytics and financial systems. Working primarily in Snowflake, dbt, and AWS, you'll ensure data from internal systems, merchants, and external partners is reliable, accessible, and structured for downstream use.

You'll partner closely with Engineering, Analytics, Finance, and Operations to solve complex data challenges, improve our infrastructure, and establish best practices. This is a hands-on senior role for someone who combines strong SQL and data engineering skills with technical leadership and independent problem-solving.

What You’ll Do:

Data Architecture & Engineering. Design, build, and maintain scalable data pipelines and architecture across Snowflake, dbt, and AWS. Lead technical decisions around ingestion, transformation, orchestration, and data modeling, ensuring our infrastructure is reliable, performant, and built to scale.

Data Integrations & Foundational Modeling. Develop and improve integrations with internal systems, merchants, payment platforms, and external partners. Build well-structured, reusable dbt models that transform raw source data into trusted datasets for downstream analytics, financial systems, and reporting.

Data Quality & Governance. Establish standards for data testing, monitoring, validation, documentation, and governance. Implement automated controls to identify issues early, improve data integrity, and ensure data is traceable and reliable across systems.

Cross-Functional Partnership. Partner with Engineering, Analytics, Finance, Operations, and Financial Systems to understand business requirements, define data specifications, and ensure downstream teams have the reliable data they need. Communicate technical concepts and tradeoffs effectively to both technical and non-technical stakeholders.

Technical Leadership & Continuous Improvement. Drive engineering best practices across SQL, dbt, code reviews, CI/CD, and development workflows. Identify opportunities to optimize performance, simplify architecture, and reduce manual processes. Mentor teammates, provide technical guidance, and help shape the long-term direction of our analytics engineering platform.

AI-Enabled Development. Incorporate AI coding agents and tools into everyday development workflows. Identify repeatable processes that can be turned into reusable skills, automated checks, and agent-driven workflows, while maintaining strong engineering standards and rigorously reviewing AI-generated code.

### Qualifications

### Required

- 5+ years of experience as an Analytics Engineer, Data Engineer, or in a similar role focused on data infrastructure, analytics, or operational dataExpert-level SQL skills, including complex joins, window functions, advanced transformations, and query optimization across large datasets.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aextend%3A6250516004 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.