Data Engineer
Why Private Clubs?
Private clubs are a $60 billion industry with no technology layer. No aggregator. No search. No verified data. We are building the platform that changes that. Travel had Booking.com. Real estate had Zillow. Private clubs have no one. We intend to be that.
Small team. In-person. AI-native. Every person here ships with AI agents, owns what they build end to end, and moves fast. If that sounds like you, keep reading.
About the role
Our data is our moat. We have 100,000+ club profiles with fees, amenities, waitlist status, and membership structures. Your job is to make that data more complete, more accurate, and more useful: through pipelines, scraping, enrichment, and verification workflows.
What you will do
- Build and maintain data pipelines that ingest, clean, and enrich club data
- Design automated verification workflows for fees, availability, and contact info
- Create scraping and enrichment systems that keep 100,000+ profiles current
- Build internal tools for the team to review, flag, and correct data quality issues
- Work with the AI/ML engineer on structured data extraction from unstructured sources
- Define data quality metrics and build dashboards to track them
What we are looking for
- 3+ years of data engineering experience
- Strong SQL skills and experience with PostgreSQL
- Experience building ETL/ELT pipelines and web scraping at scale
- Familiarity with Python for data processing and automation
- Understanding of data quality frameworks and validation strategies
- Bonus: experience with real estate, hospitality, or marketplace data
What we offer
- Meaningful ownership: equity aligned with the impact of the role
- Competitive salary benchmarked to market
- In-person team based in North America
- AI-native tooling: every team member ships with AI agents
- Small team, high autonomy, zero bureaucracy
- Direct access to the founder and every decision
- Work on a product used by real people, solving real problems
- Build the category-defining platform for a $60B industry
Seven steps, seven days
We move fast because we respect your time. Seven steps, max seven days from first conversation to offer. Our hiring process is fully remote via video calls and email.
Application Review
We review your application and previous work.
Intro Call
A short conversation with Chris, our founder and CEO. He learns about your work, and you can ask anything about Private Clubs.
Take-home Assignment
A practical exercise designed to reflect the kind of problems you would work on in the role.
Assignment Review
We review your assignment and feedback together.
Team Conversations
2-3 video calls where you get the chance to meet future team members.
Reference Calls
A quick step to confirm the fit is right for both sides.
Offer
Welcome to the team.
Interested?
Send an email with your background, what interests you about this role, and a link to anything you have built.
Apply for this role