
Senior Python Data Scraping Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Brazil, +5 more countries.
• Take ownership of comprehensive data extraction processes across intricate websites.
• Guarantee thorough coverage, precision, and dependable delivery of organized datasets.
• Utilize tools and tailored workflows to enhance data collection, validation, and task execution.
• Consistently extract data from dynamic and interactive web sources, including content rendered by JavaScript.
• Modify scraping techniques in response to evolving site behavior and minor structural adjustments.
• Uphold data quality through validation checks, controls for cross-source consistency, formatting guidelines, and systematic verification.
• Expand scraping operations for extensive datasets utilizing efficient batching or parallel processing.
• Track failures and ensure the stability of scraping activities.
• Implement tools such as Apify, OpenRouter, and other technologies within web extraction and processing workflows.
• Minimum of 5+ years of pertinent experience in data engineering, web scraping, automation, or software development (mandatory).
• Proficiency in English at an upper-intermediate level (B2) or higher (mandatory).
• Extensive experience in Python web scraping, including the use of BeautifulSoup, Selenium, or similar tools, as well as handling dynamic content (JS, AJAX, infinite scroll), and APIs through proxies.
• Proven capability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML.
• Strong foundation in data cleaning, normalization, and validation, providing structured datasets in formats like CSV, JSON, or Google Sheets.
• Demonstrated experience managing anti-bot measures and dynamic site architectures on a large scale.
• Familiarity with cloud infrastructure (AWS or equivalent) and containerization (Docker) in practical workflows.
• Direct experience with LLM frameworks such as LangChain or OpenRouter applied to automation projects.
• Excellent attention to detail and a strong commitment to data accuracy.
• Self-motivated work ethic with the ability to troubleshoot independently.
• Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is advantageous.
• A GitHub link is a plus.
• Freelance opportunity.
• Part-time remote work.
• Estimated 10–20 hours per week during active project phases.
• Flexible project-based workload (not guaranteed).
• Chance to contribute to cutting-edge technology and AI development projects.
MWDN
Oscilar
Veradigm®
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