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.
Requires 1+ year professional web scraping experience; TypeScript, Node.js, SQL, browser automation, production debugging, cloud infrastructure, and asynchronous systems experience. US business-hour overlap required.
Key Responsibilities
- maintaining scrapers
- validating data
- building dashboards
Skills & Tools
TypeScript, Node.js, SQL, Puppeteer, RabbitMQ, Redis, Google Cloud Platform, bash, git, gRPC, BigQuery
Job Details
- Category: Engineering
- Seniority: Entry Level
- Commitment: Full Time
- Workplace: Remote — North America
- Languages: English
About Clera
An AI startup developing high-volume web extraction infrastructure. — Industry: Information Technology