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A peer-to-peer online credit platform that enables its members to lend and borrow money from each other.

Data Engineer I
San Francisco, CA, US
Job Description / Skills Required

Who Are We?

Prosper is built on a simple idea: connect people who want to borrow money with those that have money to invest. Prosper is an online marketplace that gives borrowers access to individual and institutional investors. Borrowers get low, fixed rates with no hidden fees or prepayment penalties. Investors can earn great returns through the platform’s data-driven underwriting for personal loans, creating a new and diverse investment opportunity. Through Prosper, more than $11 billion in personal loans have helped borrowers consolidate their credit card debt, pay for large purchases, make home improvements and cover medical expenses. Prosper Marketplace is headquartered in San Francisco and operations in Phoenix.

Prosper Marketplace is headquartered in San Francisco. The Prosper marketplace lending platform is owned by Prosper Funding LLC. For more information visit: and follow Prosper on Twitter @ProsperLoans.

Our Team

Our Blog

What We Need

We are seeking a Data Engineer to join Prosper’s Business Intelligence technology team. The Data Engineer is responsible for data services including ETL pipeline implementation, data stewardship, data warehouse architecture, and data quality automation. The ideal candidate has deep SQL experience and seeks to create highly performant queries that result in robust data warehouse tables that drive business insight. This role reports to the VP Business Intelligence and works closely with business teams to understand and replace existing ad-hoc data access and analysis. Above all other factors, the successful candidate is smart, driven, and wants to be part of a culture of innovation and creativity as we develop and define the peer-to-peer lending market.

What You Will Do

Works closely with DBAs, Product Managers, and Engineers to become a source-data-expert and maintain optimal data warehouse performance
Builds partnerships with business users, analysts, and data scientists to understand data, reporting, and analytic requirements
Writes highly performant SQL queries and tunes existing queries to continually improve performance
Designs and builds dimensional data warehouse tables that serve as the foundation for global BI needs
Creates automated ETL pipeline that self-repairs and self-validates or alerts the team
Works closely with developers to create and improve data flows between internal/external systems and the data warehouse
Clearly documents and communicates changes to Data Warehouse environment
Educates business analysts on data access best practices
Creates optimized views and data marts to address specific business use cases
Helps explore and evaluate new technologies
What You Will Need to Have

B.S. in STEM field; M.S. preferred
0 -3 years business intelligence, data mining experience supporting a business function
Expert level SQL skills
Expert data modeling skills
Conceptual, logical and physical model design
Operation Data Stores, Enterprise Data Warehouses and Data Marts
Proven analytical and problem solving skills
Experience developing, maintaining, and administering MS SQL Server
Hands on ETL experience coding and maintaining complicated SSIS Packages
Experience with Python or other data scripting languages a strong plus
Experience with Hadoop, Map Reduce, Hive, Pig a strong plus
A curious, self-motivated, resourceful, critical-thinker
Strong oral and written communication skills
Capable of meeting deadlines in a fast-paced, dynamic, start-up environment
What’s in It For You

In addition to working for a world class FinTech company and having a lot of fun doing it, Prosper provides its employees an excellent compensation and benefits plan. The plan includes incentive bonuses, stock options, company paid health, dental and vision insurance, paid vacation time, 401k with employer match and even fitness reimbursement and commuting reimbursement benefits.