Senior Python Data Scraping Engineer – Freelance

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Manage comprehensive data extraction processes across intricate websites.

• Ensure thorough coverage, precision, and dependable delivery of organized datasets.

• Utilize tools and customized workflows to expedite data gathering, validation, and task execution.

• Extract information from dynamic and interactive web sources, including content rendered by JavaScript.

• Adapt scraping techniques in response to changing website behavior.

• Uphold data quality standards through validation checks and cross-source consistency measures.

• Adhere to formatting guidelines and systematically verify data prior to delivery.

• Scale scraping operations for extensive datasets using effective batching or parallel processing.

• Monitor for failures and maintain stability against minor alterations in site structure.

• Employ tools like Apify, OpenRouter, and other technologies along with technical expertise.

⛳️ Requirements

• A minimum of 5+ years of pertinent experience in data engineering, web scraping, automation, or software development.

• A Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical disciplines is preferred.

• Strong technical foundation and hands-on experience with scripting, automation, and data extraction processes.

• Proven ability to solve complex problems and work with contemporary development tools and technologies.

• Capability to systematically collect, organize, and validate data from various sources.

• Methodical and detail-oriented mindset.

• Ability to work autonomously.

• Extensive experience in Python web scraping utilizing BeautifulSoup, Selenium, or similar tools.

• Proficiency in handling dynamic content, including JavaScript, AJAX, and infinite scroll.

• Experience working with APIs through proxies.

• Competence in extracting data from intricate structures such as hierarchies, archived pages, and inconsistent HTML.

• Experience in data cleaning, normalization, and validation processes.

• Ability to provide structured datasets in formats like CSV, JSON, and Google Sheets.

• Proven experience managing anti-bot mechanisms and dynamic site architectures at scale.

• Familiarity with cloud infrastructure such as AWS or equivalent.

• Experience with containerization technologies like Docker.

• Practical experience with LLM frameworks such as LangChain, OpenRouter, or similar applied to automation tasks.

• Strong attention to detail and a commitment to data accuracy.

• Self-motivated work ethic with the ability to troubleshoot independently.

• Proficiency in English at an Upper-intermediate (B2) level or higher.

• A GitHub link is an advantage.

🏝️ Benefits

• Opportunity for freelance work.

• Part-time remote working arrangement.

• Estimated commitment of 10–20 hours per week during active project phases.

• Compensation of up to $25 per hour equivalent, based on experience and contribution pace.