Freelance Data Scraping Engineer (Python)

Mindrift connects specialists with innovative technology projects and develops AI technologies by combining global professional expertise with advanced AI development efforts. The role is part of the Tendem project, focused on specialized data scraping workflows for real-world applications.

• At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development.
• Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
• Strong experience in Python web scraping including libraries like BeautifulSoup, Selenium, or similar.
• Experience handling dynamic content such as JavaScript (JS), AJAX, and infinite scroll, and APIs via proxies.
• Proven ability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML.
• Solid background in data cleaning, normalization, and validation, delivering structured datasets in formats like CSV, JSON, or Google Sheets.
• Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
• Strong attention to detail and commitment to data accuracy.
• Self-directed work ethic with ability to troubleshoot independently.
• English proficiency at Upper-intermediate (B2) level or above.

• Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
• Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
• Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
• Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
• Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.