Data Engineer - Remote

Posted a month ago
Main Location
New York City, NY, United States
Open jobs

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

As the technological hub between lenders and capital markets, dv01 provides all parties with unprecedented data transparency, insight, and analytics. dv01 has integrated data from 16 marketplace lending platforms, including LendingClub, Prosper, and SoFi, and multiple mortgage servicers. To date, dv01 has provided reporting and analytics on $3.4 trillion in notional across 54 million loans and over 560 securitizations spanning consumer unsecured, mortgages, point of sales, small business, and student loans.

To get a better idea of what a year at dv01 looks like, check out our 2019 Year in Review page here: https://dv01.co/2019-year-in-review/. If that looks like fun to you, get in touch because we'd love to hear from you.

 

YOU WILL:

Be at the heart of dv01. You will operate as the bridge between the engineering and finance teams, contributing to a variety of integral processes that drive dv01 on a daily basis. Every new dataset that gets integrated within dv01 will have your fingerprints all over it.

Be an owner of dv01's most valuable asset. You'll own the business logic in our data pipeline, encapsulating all the knowledge we've accumulated across hundreds of datasets. The output from the pipeline powers all of dv01's customer offerings and is critical to the success of our business.

Be customer-facing. You will have direct exposure to high-level contacts at hedge funds, banks, and asset originators, providing valuable insights to help them answer complex questions.

Work with state-of-the-art technology. You'll work with popular, modern, and exciting open source technologies like Apache Spark and Airflow. The skills you develop here will serve you well beyond dv01.

 

YOU ARE:

A well-rounded engineer. You have 2+ years of professional programming experience with Apache Spark, Scala, Java, R, or Python. You are able to write thought-out code while accounting for resource and performance constraints and are also capable of performing ad-hoc data investigations with SQL.

Interest and experience in both engineering and finance. You're looking to grow your skills in both disciplines and are excited about the synergies between finance and technology.

Knowledgeable about consumer credit. You understand how investors evaluate loan portfolios and the complexities of amortization, prepay, and default. You strive to further your knowledge in the credit market.

Excited about big data. You should have 2+ years of professional engineering experience working with large datasets, with exposure to large datasets related to loan products an added plus. You enjoy working with data, from expressing complex business logic as scalable data processing logic to configuring and debugging intricate big data pipelines. You love the intricate details of a thorough investigation, but also stay aware of the bigger picture while operating across multiple threads of work.

Undergraduate or graduate degree in Finance, Math, or Engineering. Note that we're not anti-dropouts if you're a superstar.

BENEFITS & PERKS:
  • Highly collaborative culture (weekly town hall meetings, virtual cross-team coffee hour)
  • Almost 100% paid benefits (medical/dental/vision)
  • 401K 
  • Continuous learning (prototype/hackathon day, brunch & learns, Scala overviews)
  • Weekly $100 lunch allowance
  • Free premium Equinox membership
  • Unlimited PTO
  • Company virtual events (Happy hours, game nights, team qi gong, book club, etc.)

 

dv01 is an equal opportunity employer and all qualified applicants and 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.

Mission
We're a community of women leveraging our connections into top companies to help underrepresented women get the roles they've always deserved. Simultaneously, we work to build truly inclusive hiring processes and environments where women can thrive and not just survive.
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Data Engineer - Remote
dv01