Senior Data Engineer, Data Transformation Platform

dv01, a Fitch Solutions company, 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.

A Senior Data Engineer on the Data Transformation Platform team builds and maintains the data pipelines that turn billions of dollars of loan and bond data into the datasets behind the dv01 platform. The team owns the building blocks for the organization's data management needs and the architecture that keeps our data the single source of truth for the securitization markets we cover.

This is a hands-on senior role on a small, highly collaborative team, where your decisions shape how our users see risk and performance and your contributions have a visible and lasting effect on the business.

• Design, build and maintain production data pipelines in Python, SQL and dbt on Google Cloud (BigQuery, Cloud Composer, Dataproc) and Databricks
• Own the architecture and data modeling of pipelines and schemas that scale
• Profile and optimize large data jobs for performance and cost
• Deliver roadmap projects end to end, from building new pipelines and migrating legacy ones to modernizing the platform they run on
• Keep production healthy: monitor and troubleshoot pipeline jobs, take part in the on-duty rotation, and fix root causes
• Review code, mentor engineers and analysts, and improve the team's tooling, including AI-assisted development with tools such as Claude Code
• Work with analysts, product and other engineering teams to turn data requirements into correct, maintainable transformations

• An experienced data engineer, with 7+ years of experience building and operating production data pipelines and platforms on a major cloud provider, preferably Google Cloud Platform (GCP)
• A rigorous data modeler who designs data pipelines and schemas that other engineers can maintain and extend
• Fluent in Python and SQL, with hands-on experience in dbt and Spark; Scala or Java is a plus
• Proven at making large data jobs faster and cheaper
• Comfortable managing deployment and orchestration for complex production pipelines
• Hands-on with Databricks for pipelines and analytics, including workspace administration.
• Self-directed and capable of making a large impact with a small team. You are able to both work independently and collaborate deeply as needed, you proactively explore and evaluate new technologies.
• Curious about structured finance; financial knowledge is preferred but not required and can be learned on the job