About The Position

A Senior Data Engineer on the Data Transformation Platform team builds and maintains data pipelines that transform loan and bond data into the datasets behind dv01’s analytics platform. The team owns core data-management building blocks and the architecture that keeps data as a single source of truth for the securitization markets dv01 covers. This is a hands-on senior role on a small, highly collaborative team. The engineer’s decisions shape how users see risk and performance, with visible and lasting effects on the business.

Requirements

  • At least 7 years of experience building and operating production data pipelines and platforms on a major cloud provider.
  • Strong data-modeling skills and the ability to design pipelines and schemas that other engineers can maintain and extend.
  • Fluency in Python and SQL.
  • Hands-on experience with dbt and Spark.
  • Experience managing deployment and orchestration for complex production pipelines.
  • Hands-on experience with Databricks for pipelines and analytics, including workspace administration.
  • Ability to work independently and collaboratively, make a significant impact on a small team, and proactively explore and evaluate new technologies.

Nice To Haves

  • Experience with Google Cloud Platform (GCP), preferred among major cloud providers.
  • Scala or Java experience.
  • Financial knowledge or familiarity with structured finance; financial knowledge is preferred but can be learned on the job.

Responsibilities

  • Design, build, and maintain production data pipelines using Python, SQL, and dbt on Google Cloud, including BigQuery, Cloud Composer, and Dataproc, as well as Databricks.
  • Own the architecture and data modeling of scalable pipelines and schemas.
  • Profile and optimize large data jobs for performance and cost.
  • Deliver roadmap projects end to end, including building new pipelines, migrating legacy pipelines, and modernizing the platform.
  • Monitor and troubleshoot production pipeline jobs, participate in the on-duty rotation, and fix root causes.
  • Review code, mentor engineers and analysts, and improve team tooling, including AI-assisted development tools such as Claude Code.
  • Work with analysts, product teams, and other engineering teams to turn data requirements into correct, maintainable transformations.

Benefits

  • Paid vacation days, personal holidays, paid sick days, and company holidays.
  • 401(k) with company match.
  • Medical, dental, and vision insurance for employees and their families.
  • Paid parental leave: 10 weeks for all parents and 16 weeks for birthing parents, at 100% of salary.
  • Fertility support up to a $25,000 lifetime maximum and backup childcare through Bright Horizons.
  • Support for professional qualifications and external study programs, including certifications, courses, master's programs, and MBAs; access to the Fitch Management Academy, MentorPoint mentorship, and Hearst Academy technical training.
  • Wellhub gym and wellness memberships, free mental health support through Spring Health, and a confidential Employee Assistance Program.
  • $250 annual home office allowance, pre-tax commuter benefits, and an employee referral program paying $2,500 to $10,000.
  • Six active employee resource groups, 1:1 donation matching, paid volunteer hours, and company-funded service trips to build schools abroad.
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