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Dv01 // data management, reporting & analytics platform
 
Engineering, Full Time    New York, New York    Posted: Saturday, November 02, 2019
 
   
 
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JOB DETAILS
 

dv01 is the worlds first end-to-end data management, reporting & analytics platform offering loan level transparency & insight into lending markets, making them more efficient for institutional investors & safer for the world. In a nutshell, were doing our part to prevent a repeat of 2008.

As the technological hub between lenders & capital markets, dv01 provides all parties with unprecedented data transparency, insight, & analytics. dv01 has integrated data from 16 marketplace lending platforms, including LendingClub, Prosper & SoFi & multiple mortgage servicers. To date, dv01 has provided reporting & analytics on $105 billion of online lending & mortgage loans & $35 billion of securitization coverage.

To get a better idea of what a year at dv01 looks like, check out our 2018 Year in Review page here:https://dv01.co/2018yearinreview/.If that looks like fun to you, get in touch because we'd love to hear from you.

YOU WILL:

Own our data platform.You will own the infrastructure for the data platform that powers all of dv01s customer offerings. This includes an Apache Spark cluster, SQL Server databases, scheduling/monitoring tools, API crawlers, SFTP servers, & ad-hoc analysis services such as Apache Zeppelin & RStudioall hosted on the cloud.

Work extensively with open source technology.Youll work heavily within the Spark ecosystem, as well as explore new open source technologies to solve customer needs. The skills you develop here will serve you well beyond dv01.

Interact with a diverse team.You will collaborate closely with other teams at dv01 to expand & improve the capabilities of our data platform. This includes working closely with the structuring team to resolve scaling or functionality pain points in data processing, the modeling team to build out a modern data science platform, & the frontend product engineering team to scale database queries to ship new products.

Gain knowledge of the financial industry.Youll have an exclusive view into the system that enables Americans to afford houses, cars, & college. You will learn about the participants, terminology, & mathematics behind this sector of the financial markets.

QUALIFICATIONS:

Experienced with all aspects of working with big data.You have 2+ years of professional data engineering experience working with large data sets & are intimately familiar with the construction of scalable ETL pipelines, intricacies of accurate data processing, & infrastructure involved with ensuring the reliability of hundreds of daily processes.

A Spark Enthusiast.You have at least one year of professional programming experience with Apache Spark & a strong understanding of Spark internals & the operational complexities of managing a Spark cluster. You have engaged with the Spark community on mailing lists or on Github & may have contributed source code to the project.

A well-rounded engineer.You have 3+ years of professional programming experience with Scala or Java & a deep appreciation for engineering fundamentals. You understand the importance of writing tests, designing systems for long term maintainability, & evaluating both sides of common engineering considerations.

Enthusiastic about expanding your financial knowledge.You are excited to learn more about the intricacies of the financial system. You are adept at learning on the job & unafraid to dive into technical finance books.

Undergraduate or graduate degree in Finance, Math, or Engineering.Note that were not anti dropouts if youre a superstar.

Perks & Benefits:
Almost 100% Paid Benefits (medical/dental/vision)
Annual Professional Development Stipend
Monthly Commuter Budget
Daily Lunch & Dinner Allowance
Free Premium Equinox or ClassPass Membership
Unlimited PTO & Remote days
Casual, collaborative culture
Company Outings (Happy Hours, Team Yoga, Book Club, etc.)

dv01 is an equal opportunity employer & all qualified applicants & employees will receive consideration for employment opportunities without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, age, national origin or ancestry, citizenship, veteran status, membership in the uniformed services, disability, genetic information or any other basis protected by applicable law.

 
 
 
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