Scraping Engineer

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.