Note: The job is a remote job and is open to candidates in USA. Mindrift connects specialists with innovative technology projects focused on developing high-quality AI technologies. The company is seeking a freelance Python Data Scraping Engineer to manage end-to-end web data extraction, processing, validation, and scalable scraping workflows for the Tendem project.

Responsibilities

• 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

Skills

• At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
• Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows
• We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources
• A methodical, detail-oriented approach and the ability to work independently are essential
• Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
• Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
• Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, 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: Upper-intermediate (B2) or above (required)
• Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements
• Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
• A link to GitHub is a plus

Benefits

• This part-time remote opportunity

Company Overview