About the Role
You'll be an embedded member of a fast-growing 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-throughput data pipeline running smoothly and accurately.
What You'll Do
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Monitor and triage a queue of broken scrapers and data quality alerts to keep operations running without interruption.
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Build and deploy new web scraping scripts for websites that need to be added to the extraction pipeline.
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Validate scraped data for accuracy and investigate any discrepancies that surface.
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Create dashboards to visualize and monitor scraped data in real time.
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Collaborate with AI agents to fill capability gaps, fix issues, and improve existing scripts.
What We're Looking For
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1+ years of hands-on, professional experience building or maintaining web scraping solutions.
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Strong proficiency in TypeScript and Node.js for building and debugging scraping scripts.
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Solid SQL skills for data querying and validation.
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Experience with Puppeteer or similar browser automation libraries.
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Experience debugging and fixing broken scrapers in production environments.
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Familiarity with message queues such as RabbitMQ and in-memory caching systems such as Redis.
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Experience with Google Cloud Platform or equivalent cloud infrastructure, including data warehouse tools like BigQuery.
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Comfort with bash scripting and git version control.
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Experience validating data quality and accuracy in extracted datasets.
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Experience building dashboards or data visualization tools is a plus.
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Strong async communicator who sends proactive updates and flags blockers early.
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Comfortable with ambiguity and able to scope project timelines independently in a fast-paced startup setting.
Location
Fully remote, open to any time zone. You will need 8+ hours of daily availability with overlap during US business hours. Visa sponsorship is not available.
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