7+ years of experience in building and operating production data pipelines on a major cloud provider, preferably Google Cloud Platform (GCP)
Proficient in Python and SQL, with hands-on experience in dbt and Spark; Scala or Java is a plus
Strong data modeling skills for maintainable and scalable pipelines
Experience optimizing large data jobs for performance and cost
Comfortable managing deployment and orchestration for complex production pipelines
Hands-on experience with Databricks for pipelines and analytics
Self-directed with a collaborative mindset, able to explore new technologies independently
Responsibilities
Design, build, and maintain production data pipelines using Python, SQL, dbt, and Google Cloud tools
Own the architecture and data modeling of scalable pipelines and schemas
Profile and optimize large data jobs for enhanced performance and cost efficiency
Deliver end-to-end roadmap projects, including building new pipelines and modernizing legacy systems
Monitor and troubleshoot pipeline jobs, participating in on-duty rotations to resolve issues
Review code and mentor team members while improving tooling, including AI-assisted development
Collaborate with analysts and product teams to translate data requirements into effective transformations
Benefits
Paid Time Off including vacation days, personal holidays, and sick days
401(k) with company match to support long-term savings
Comprehensive health care package including medical, dental, and vision insurance
Generous parental leave policy with 10 weeks paid for all parents and 16 weeks for birthing parents
Support for professional development including certifications and courses
Wellbeing initiatives including gym memberships and mental health support
Annual home office allowance and pre-tax commuter benefits
Community engagement opportunities with employee resource groups and volunteer programs
Full Job Description
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.
You will:
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
You are:
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
BENEFITS & PERKS:
Paid Time Off. Vacation days, personal holidays and paid sick days on top of company holidays, so you can unplug and rejuvenate.
401(k) with Company Match. Build long-term savings with a company match on your contributions.
Health Care. A comprehensive medical, dental and vision insurance package for you and your family.
Parental Leave and Family Support. 10 weeks of paid leave 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.
Learning & Development. Support for professional qualifications and external study programs, including certifications, courses, master's programs and MBAs, plus the Fitch Management Academy, MentorPoint mentorship, and Hearst Academy technical training.
Wellbeing. Wellhub gym and wellness memberships, free mental health support through Spring Health, and a confidential Employee Assistance Program.
Everyday Support. A $250 annual home office allowance, pre-tax commuter benefits, and an employee referral program paying $2,500 to $10,000.
Community and Purpose. Six active employee resource groups, 1:1 donation matching and paid volunteer hours, and company-funded service trips to build schools abroad.
In good faith our salary range for this role is $160,000 - $175,000 but are not tied to it. Final offer amount will be at the company's sole discretion and determined by multiple factors, including years and depth of experience, expertise, and other business considerations. Our community is fueled by diverse people who welcome differing points of view and the opportunity to learn from each other. Our team is passionate about building a product people love and a culture where everyone can innovate and thrive.
About dv01
dv01 is a financial technology company that provides data management, reporting and analytics solutions to the consumer lending market. The company's platform connects lenders, investors, and regulators to promote transparency and efficiency in lending markets. dv01's cloud-based technology ingests, normalizes, and aggregates consumer lending data from multiple sources, providing investors with a single unified view of their portfolio. The company was founded in 2014 and is headquartered in New York City.
