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Scraping Engineer

remote

About this role

ABOUT THE ROLE You'll be an embedded engineer on a fast-moving AI startup team, owning the reliability and quality of a web extraction infrastructure that processes millions of pages daily across hundreds of scripts. Reporting to a Forward Deployed Engineer, this role is critical to keeping a high-volume data pipeline running smoothly and accurately. WHAT YOU'LL DO - Monitor and triage a queue of broken scrapers and data quality alerts to keep operations running without interruption.

- Build and deploy new web scraping scripts for sites requiring data extraction. - Validate scraped data for accuracy and investigate discrepancies when they arise. - Create dashboards to visualize and monitor scraped data in real time. - Collaborate with AI agents to fill capability gaps, resolve issues, and improve existing scripts. WHAT WE'RE LOOKING FOR - 1+ years of professional experience building or maintaining web scraping solutions.

- 1+ years working with TypeScript, Node.js, and SQL. - Hands-on experience with Puppeteer or similar browser automation libraries. - Experience debugging and fixing broken scraping scripts in production environments. - Familiarity with message queues (e.g. RabbitMQ) and in-memory caching systems (e.g. Redis). - Experience validating data quality and accuracy in extracted datasets. - Comfort with GCP or equivalent cloud infrastructure, bash scripting, and git.

- Exposure to data warehousing tools (e.g. BigQuery) and data visualization or dashboard tooling is a plus. - Strong async communicator who proactively flags blockers and sends updates without prompting. - Thrives in ambiguous, fast-paced environments with a bias toward action and efficiency. LOCATION Fully remote, open to any time zone. Candidates must be available 8+ hours per day with meaningful overlap during US business hours.

Visa sponsorship is not available.

Source listing: ashby_clera