About Willow Wealth
Willow Wealth is a leading platform for private market investing, connecting individual investors with curated opportunities across real estate, private credit, private equity, and more. Founded in 2015, the platform has grown to serve more than 500,000 members with $6.9B+ invested since inception. The company has raised over $250M from leading institutional investors, such as Redbird, Tarsadia, Mayfair, StepStone, and Edison Partners.
About the Role
Willow Wealth is seeking a Senior Data Engineer who will be responsible for owning and improving the company's data stack. This includes expanding our data warehouse, building ingestion processes between different company tools, and streamlining reporting processes. As part of a small but wide-reaching data team, you will have ample opportunity to own large parts of our tech stack and to plan new projects to improve the organization.
After thirty days, this person is expected to become familiar with the various parts of our data stack, such as the data warehouse, dimensional model design, scheduling & ETL processes. They will have enough knowledge to work on ingesting new data, refactoring dbt models, and ensuring downstream reporting maintains accuracy.
After a year, this person should be the technical owner and go-to person for parts of our data stack. It is expected that they will proactively consider improvements to their areas of ownership. They should be able to holistically understand the data stack and how changes to one part might affect others. They not only adhere to best practices but are able to add to them as well.
Key Responsibilities
- Build and streamline Python processes to ingest data from various sources into and out of our data warehouse
- Maintain and expand data in data warehouse
- Improve and standardize data quality
- Collaborate with engineering and analysts to incorporate upstream data changes and downstream data requests
- Improve and automate team processes
Qualifications
- 4+ years of experience in data engineering
- Fluency in SQL and Python
- Proficiency with relational databases and dimensional modelling
- Expertise building ETL processes
- Familiarity with BI tools
- Experience with the following tools is preferred but not required:
- Snowflake
- Looker
- Dagster
- Docker
What’s in it for you
Competitive compensation package, including equity
Health, dental & vision coverage with FSA/HSA options
Unlimited PTO
401k match
Commuter benefit
Life insurance
Wellness stipend
This is a New York-based role. The base salary range for this position is USD 170,000 to 190,000 annually, depending on experience and qualifications. This role is eligible for equity compensation as part of the total compensation package.
Skills Required
- 4+ years of experience in data engineering
- Fluency in SQL
- Fluency in Python
- Proficiency with relational databases
- Proficiency with dimensional modelling
- Expertise building ETL processes
- Familiarity with BI tools
- Experience with Snowflake
- Experience with Looker
- Experience with Dagster
- Experience with Docker
Willow Wealth Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Willow Wealth and has not been reviewed or approved by Willow Wealth.
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Healthcare Strength — Healthcare coverage is positioned as a standard, modern package with medical, dental, and vision options. The offering appears aligned with typical tech/fintech expectations even though plan richness is not detailed publicly.
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Retirement Support — A 401(k) match is part of the stated benefits set, signaling employer participation in retirement savings. The exact match formula and vesting are not specified, but the presence of a match is a positive baseline.
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Equity Value & Accessibility — Equity options are included alongside salary, indicating an ownership component to total compensation. Access and value likely vary by role and level, but equity is presented as part of the package.
Willow Wealth Insights
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