Technical Data Scraper

We are seeking a highly skilled Technical Data Scraper to architect and execute high-volume data acquisition strategies. The primary objective of this role is to deliver 20,000 verified , deduplicated , and enriched leads daily to support the Inbound Team's outreach efforts. Key Responsibilities Data Acquisition & Engineering: Backend Extraction: Utilize custom scripts (Python/Node.js) to extract data directly from backend endpoints, bypassing front-end limitations to access deep, unexposed datasets Tool Mastery: Operate and optimize scraping workflows across Apollo.io, LinkedIn Sales Navigator, Apify, and ancillary scraping tools Automation: Build and maintain autonomous scraping actors on Apify to ensure continuous data flow with minimal downtime Data Refinement & Delivery: Verification Protocol: Cleanse, verify (email syntax/MX records), and enrich raw data to ensure a 95%+ deliverability rate before handoff Daily Quota: Reliably engineer pipelines that yield a minimum of 20,000 refined leads per day for the Inbound team Lead Bank Management: Architect and maintain a structured Lead Bank (database/CRM integration) for historical storage, segmentation, and retrieval Coordination & Maintenance: Cross-Functional Sync: Collaborate daily with the Inbound Team Lead to align on ICP (Ideal Customer Profile) shifts and data priority tiers Requirements Bachelor's degree in Computer Science, Information Technology, or a related technical field. 2+ years of hands-on experience in web scraping, data extraction, lead generation, or large-scale data acquisition Lead Generation Platforms: Proven hands-on experience with Apollo.io, LinkedIn Sales Navigator, Apify, and other B2B lead generation and data extraction platforms. Backend & API Extraction: Demonstrated ability to analyze network traffic using Chrome DevTools, Postman, and browser developer tools to identify, reverse engineer, and interact with hidden or undocumented APIs. Data Verification & Enrichment: Experience with email verification and enrichment tools such as NeverBounce, ZeroBounce, MillionVerifier, or similar platforms to ensure high-quality, validated lead data. Proxy & Anti-Bot Management: Hands-on experience with proxy providers such as Bright Data, Smartproxy, Oxylabs, rotating proxies, CAPTCHA handling, browser fingerprinting, and anti-bot mitigation techniques. Data Processing: Strong understanding of data cleansing, deduplication, normalization, enrichment, and quality assurance processes for large-scale lead databases