Scraping Engineer

Job description

### About the Role You'll own the reliability and quality of a web extraction infrastructure that processes millions of pages daily through hundreds of scripts, embedded within a fast-moving AI startup team. Reporting to the Forward Deployed Engineer, this role is critical to keeping a high-throughput data pipeline running smoothly and accurately. ### What You'll Do - Monitor and triage a queue of broken scrapers and data quality alerts to maintain smooth operations. - Build and deploy new web scraping scripts for sites that require data extraction. - Validate scraped data for accuracy and investigate discrepancies as they arise. - Create dashboards to visualize and monitor scraped data in real time. - Collaborate with AI agents to fill capability gaps, fix issues, and improve existing scripts. ### What We're Looking For - 1+ years of hands-on professional experience building or maintaining web scraping solutions. - Proficiency with TypeScript and Node.js for building and debugging scraping scripts. - Proficiency with SQL for data querying and validation. - Experience with Puppeteer or similar browser automation libraries. - Experience debugging and fixing broken scrapers in production environments. - Experience with message queues such as RabbitMQ or similar asynchronous job processing systems. - Experience with Redis or similar in-memory caching systems. - Familiarity with Google Cloud Platform or equivalent cloud infrastructure (BigQuery experience is a plus). - Experience with bash scripting, git, and gRPC. - Experience building dashboards or data visualization tools is a plus. - Strong async communicator who proactively flags blockers and sends updates without prompting. - Comfortable with ambiguity and energized by a fast-paced, early-stage environment. ### Location Fully remote, open to any time zone. Candidates must have 8+ hours of daily availability with overlap during US business hours. Visa sponsorship is not available.