Compatibility brief · Discovered by NoBoards 2d ago
Scraping Engineer
clera · remote
Sponsorship not statedRemote listed
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.