Data Engineer (Clay, Web Scraping)

About Us

Axia is a deal origination firm that connects investment banks and private equity firms with qualified deal flow. We're a bootstrapped team of 20 — lean, fast-moving, and growing.

The Role

You'll own our entire data sourcing process — finding, extracting, enriching, and delivering the data that powers our deal origination engine. You'll work heavily with Clay, APIs, web scraping, and third-party data providers to build reliable pipelines that feed our outreach and research teams.

What You'll Do

- Own the full data sourcing process — from identifying sources to delivering clean, enriched datasets to the team

- Build and maintain Clay workflows — design multi-step Clay tables that enrich, filter, and score leads at scale

- Integrate third-party APIs — connect data providers, enrichment tools, and internal systems into automated pipelines

- Build and maintain web scrapers — extract structured data from websites, directories, and public sources

- Ensure data quality — validate, deduplicate, and normalize data before it reaches outreach and research teams

- Evaluate new data sources — research and test new providers, tools, and methods to improve coverage and accuracy

- Document processes — maintain clear documentation so workflows are repeatable and not dependent on one person

What We're Looking For

Must-have:

- Strong experience with Clay (building complex tables, enrichment workflows, API integrations within Clay)

- Proficiency working with REST APIs — authenticating, paginating, transforming responses

- Web scraping experience — Python (BeautifulSoup, Scrapy, Playwright) or similar tools

- Comfortable cleaning and transforming messy data into structured, usable formats

- Professional English — clear written communication for async collaboration

- Some availability during US Eastern Time hours (full overlap not required)

Nice-to-have:

- Experience with data enrichment providers (Apollo, ZoomInfo, Clearbit, PeopleDataLabs, etc.)

- SQL and database experience (PostgreSQL, BigQuery, or similar)

- Familiarity with no-code/low-code automation tools (Make, Zapier, n8n)

- Background in B2B data, lead generation, or deal sourcing

- Experience with Python scripting beyond scraping (pandas, data pipelines)

Compensation

- Monthly payment based on experience

- Full-time contractor engagement

- Long-term role with growth potential as our data operations scale

Location

Remote — some overlap with US Eastern Time (EST) preferred, but full overlap not required.