
Senior Python Data Scraping Engineer – Freelance
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Florida, +4 more states.
• Take ownership of comprehensive data extraction processes across intricate websites.
• Guarantee extensive coverage, precision, and dependable delivery of structured datasets.
• Utilize tools and tailored workflows to enhance data collection, validation, and task execution efficiency.
• Accurately extract data from dynamic and interactive web platforms, adapting to JavaScript-rendered content and evolving site behaviors.
• Maintain data integrity through validation checks, cross-source consistency controls, formatting specifications, and systematic verification.
• Scale scraping operations for large datasets by implementing efficient batching or parallelization techniques.
• Monitor failures and ensure stability in response to minor changes in site structure.
• Employ tools such as Apify, OpenRouter, and other technologies for effective web extraction and processing.
• A minimum of 5+ years of relevant experience in data engineering, web scraping, automation, or software development.
• A strong technical foundation and practical expertise in scripting, automation, and data extraction workflows.
• Significant experience in Python web scraping, including proficiency with BeautifulSoup, Selenium or similar tools, dynamic content (JS, AJAX, infinite scroll), and APIs via proxies.
• Demonstrated ability to extract data from complex structures, such as hierarchies, archived pages, and inconsistent HTML.
• A solid background in data cleaning, normalization, and validation, ensuring delivery of structured datasets in formats like CSV, JSON, or Google Sheets.
• Proven experience in managing anti-bot mechanisms and dynamic site structures at scale.
• Familiarity with cloud infrastructure such as AWS or equivalent, and experience with containerization using Docker in practical workflows.
• Hands-on experience with LLM frameworks like LangChain, OpenRouter, or similar technologies applied to automation tasks.
• Strong attention to detail and a commitment to maintaining data accuracy.
• Self-motivated work ethic with the ability to troubleshoot independently.
• English proficiency: Upper-intermediate (B2) or higher.
• A Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical disciplines is an advantage.
• A link to GitHub is considered a plus.
• Freelance opportunity.
• Remote work environment.
• Estimated workload of 10–20 hours per week during active project phases.
• Compensation of up to $45 per hour equivalent, based on experience and contribution pace.
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