Web Scraper​/Data Engineer

Web Scraper / Data Engineer

Location:

Remote

Job Type: Full-time

About STERRY

At STERRY, we’re not your average Growth Marketing Agency—we’re the rocket fuel behind crowdfunding and e-commerce success. Since day one, we’ve helped clients pull in over $100 million in trackable online revenue. We build strategies that go beyond brand and marketing—we deliver measurable results rooted in online performance.

We’re looking for an experienced Web Scraper / Data Engineer to help us build and maintain automated pipelines that collect, clean, and enrich creator and campaign data from public sources. You’ll be responsible for designing reliable, scalable scrapers and integrating them with our backend.

• Build scrapers and crawlers to collect creator profile data (followers, engagement, category, contact info, etc.) from social platforms (Tik Tok, Instagram, You Tube, etc.) and directories
• Parse and clean unstructured data into structured datasets (JSON, CSV, or direct to database)
• Integrate with APIs (You Tube, Tik Tok, Instagram, etc.) where possible
• Detect and handle rate limits, CAPTCHA, and anti-bot mechanisms
• Implement and monitor scraping tasks using proxy rotation and headless browsers (Puppeteer, Playwright, Selenium, etc.)
• Collaborate with the backend team to feed data into AI recommendation engine
• Maintain high data accuracy, freshness, and compliance with platform TOS and privacy rules

• 2+ years experience building web scrapers, crawlers, or data extraction pipelines
• Strong Python or Node.js skills (Beautiful Soup, Playwright, Puppeteer, Scrapy, or similar)
• Experience with APIs, JSON, REST, and rate-limiting management
• Familiarity with databases (Mongo
  
  DB, Postgre
  
  SQL, Firebase, etc.)
• Knowledge of proxies, headless browsers, and data scaling infrastructure
• Attention to detail and ability to deliver clean, well-documented code
• (Bonus) Experience with influencer data, social analytics, or SaaS platforms

• Flexible working hours (remote-first)
• Competitive pay (hourly or project-based)
• Long-term potential to transition into a data engineering role at Pitchee
• Opportunity to shape the foundation of a fast-growing AI SaaS startup