Extend Logo

Extend

Analytics Engineer

Posted 7 Days Ago
Remote
Hiring Remotely in US
135K-135K
Mid level
Remote
Hiring Remotely in US
135K-135K
Mid level
The Analytics Engineer will ensure data integrity across financial systems, build and maintain data pipelines, and collaborate with various teams to enhance data processes.
The summary above was generated by AI

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:

  • Own and improve the data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
  • Build and maintain data pipelines using Snowflake and DBT to support reliable and auditable operations.
  • Collaborate closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data.
  • Ensure data integrity across systems and assist with internal and external audits through well-documented, traceable data practices.
  • Enhance and support integrations with Service Providers and Merchants to improve timeliness and accuracy of claim expense reporting and payments.
  • Utilize tools like Thunderclient and other API clients to interface with production systems when necessary.
  • Identify, investigate, and fix data quality issues, recommending process improvements to reduce errors and manual interventions.
  • Help extend and evolve our data quality standards and operational analytics practices.

What We’re Looking For:

  • 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: $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:

  • 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.

Extend CCPA HR Notice




Top Skills

Dbt
Postman
Snowflake
SQL
Thunderclient

Similar Jobs

9 Hours Ago
Easy Apply
Remote
United States
Easy Apply
125K-145K Annually
Mid level
125K-145K Annually
Mid level
Healthtech • Insurance • Other • Sales • Software
The Analytics Engineer II will design and maintain ELT data pipelines, automate data processes, ensure data quality, and mentor junior engineers, collaborating across teams to drive actionable insights.
Top Skills: BigQueryDataformDbtGCPHexMetabasePower BIPythonSQLTableau
Yesterday
Remote
Atlanta, GA, USA
160K-230K
Senior level
160K-230K
Senior level
Fintech • Gaming • Mobile • Sports • Esports
As a Staff Analytics Engineer, you'll lead the design, building, and maintenance of data models and pipelines, ensuring data quality and insights delivery while mentoring juniors.
Top Skills: Ci/CdData GovernanceData ModelingDbtSQL
2 Days Ago
Easy Apply
Remote
3 Locations
Easy Apply
154K-281K
Mid level
154K-281K
Mid level
eCommerce • Software • Design • SEO
The Staff Analytics Engineer will design scalable data solutions, collaborate with cross-functional teams, and enhance data infrastructure and analytics capabilities at Webflow.
Top Skills: DbtPythonSnowflakeSQLTableau

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account