Scraping Engineer

About the Role

You'll be an embedded member of a fast-moving AI startup team, owning the reliability and quality of a web extraction infrastructure that processes millions of pages daily through 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

• Maintain and monitor a triage queue, resolving broken scrapers and data quality alerts to keep operations running smoothly.

• Build and deploy new web scraping scripts for websites requiring data extraction.

• Validate scraped data for accuracy and investigate discrepancies.

• 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 scraping scripts in production environments.

• Familiarity with message queues (e.g. RabbitMQ) and asynchronous job processing systems.

• Experience with Redis or similar in-memory caching systems.

• Experience with Google Cloud Platform or equivalent cloud infrastructure.

• Comfort with bash scripting, git, and gRPC.

• Exposure to BigQuery or similar data warehousing solutions is a plus.

• Experience building dashboards or data visualization tools is a plus.

• Strong async communicator who flags blockers proactively and thrives with ambiguity in a fast-paced environment.

• Availability for 8+ hours per day with overlap during US business hours.

Location

Fully remote — all time zones welcome, provided you can maintain overlap with US business hours.