Data Analytics Engineer

About dv01

dv01 is lifting the curtain on the largest financial market in the world: structured finance. The $16+ trillion market is the backbone of everyday activities that empower financial freedom, from consolidating credit card debt and refinancing student loans, to buying a home and starting a small business.

dv01’s data analytics platform brings unparalleled transparency into investment performance and risk for lenders and Wall Street investors in structured products. As a data-first company, we wrangle critical loan data and build modern analytical tools that enable strategic decision-making for responsible lending. In a nutshell, we're helping prevent a repeat of the 2008 global financial crisis by offering the data and tools required to make smarter data-driven decisions resulting in a safer world for all of us.

More than 400 of the largest financial institutions use dv01 for our coverage of over 75 million loans spanning mortgages, personal loans, auto, buy-now-pay-later programs, small business, and student loans. dv01 continues to expand coverage of new markets, adding loans monthly, and developing new technologies for the structured products universe.

Responsibilities

• Be at the heart of dv01. You’ll operate as the bridge between the engineering and analyst 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 managing and scaling 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.
• Work directly with internal and external stakeholders. You’ll work with our team of analyst experts as well as directly connecting with customers to understand the complexities of the data dv01 manages.
• Work with state-of-the-art technology. You'll work with popular, modern, and exciting open source technologies like DBT, Airflow and Apache Spark. Everything we do is cloud-native on Google Cloud Platform, utilizing tools including BigQuery, Cloud Run and Dataproc. The skills you develop here will serve you well beyond dv01.

Qualifications

• A well-rounded data engineer. You have 3+ years of professional experience writing production-ready code in a language such as Python, DBT, Scala or Java as well as being highly proficient in SQL. You are able to write well thought-out code while accounting for resource and performance constraints.
• Passionate about working with data. You should have 2+ years of professional experience working directly with data pipelines with exposure to datasets related to loans an added plus. Your typical day-to-day involves tasks such as wrangling messy raw data into a usable state, expressing complex business logic as code, and configuring new and debugging existing pipelines.
• Knowledgeable about relational data concepts. You are able to understand and explain the relationship between various tables and how and why the needs of stakeholders have been captured in a particular data model.
• Excited about big data tools. You work frequently with processing frameworks and databases designed to handle large datasets and have spent time optimizing how you store and compute data within them.
• Interested and experienced 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. You’re capable of understanding how investors evaluate loan portfolios and the complexities of amortization, prepay, and default.
• A first-rate collaborator and communicator. You’re comfortable working alongside analysts and subject matter experts and translating their requirements into code. You thrive on interacting with clients to best understand and satisfy their needs.