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
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Maintain and monitor a triage queue, resolving broken scrapers and data quality alerts to keep operations running smoothly.
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Build and deploy new web scraping scripts for websites requiring data extraction.
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Validate scraped data for accuracy and investigate discrepancies.
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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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Proficiency with TypeScript and Node.js for building and debugging scraping scripts.
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Proficiency with SQL 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 scraping scripts in production environments.
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Familiarity with message queues (e.g. RabbitMQ) and asynchronous job processing systems.
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Experience with Redis or similar in-memory caching systems.
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Experience with Google Cloud Platform or equivalent cloud infrastructure.
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Comfort with bash scripting, git, and gRPC.
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Exposure to BigQuery or similar data warehousing solutions is a plus.
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Experience building dashboards or data visualization tools is a plus.
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Strong async communicator who flags blockers proactively and thrives with ambiguity in a fast-paced environment.
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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.
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