About the Role
You'll be an embedded engineer on a fast-moving AI startup team, owning the reliability and quality of a web extraction infrastructure that processes millions of pages daily across 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
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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 sites requiring data extraction.
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Validate scraped data for accuracy and investigate discrepancies when they arise.
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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, resolve issues, and improve existing scripts.
What We're Looking For
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1+ years of professional experience building or maintaining web scraping solutions.
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1+ years working with TypeScript, Node.js, and SQL.
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Hands-on experience with Puppeteer or similar browser automation libraries.
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Experience debugging and fixing broken scraping scripts in production environments.
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Familiarity with message queues (e.g. RabbitMQ) and in-memory caching systems (e.g. Redis).
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Experience validating data quality and accuracy in extracted datasets.
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Comfort with GCP or equivalent cloud infrastructure, bash scripting, and git.
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Exposure to data warehousing tools (e.g. BigQuery) and data visualization or dashboard tooling is a plus.
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Strong async communicator who proactively flags blockers and sends updates without prompting.
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Thrives in ambiguous, fast-paced environments with a bias toward action and efficiency.
Location
Fully remote, open to any time zone. Candidates must be available 8+ hours per day with meaningful overlap during US business hours. Visa sponsorship is not available.
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