Mindrift is seeking a skilled Python Data Scraping Engineer to join the Tendem project. This freelance, part-time remote role is ideal for professionals with hands-on experience in web scraping, data extraction, and processing. The Mindrift platform connects specialists with innovative technology projects and aims to advance high-quality AI technologies through real world expertise and AI development efforts. As a Python Data Scraping Engineer, you will manage data scraping tasks requiring technical precision for web extraction and processing, using tools such as Apify, OpenRouter, and other technologies, applying your own approaches. Responsibilities: - Own end-to-end data extraction workflows across complex websites, ensuring coverage, accuracy, and delivery of structured datasets. - Leverage tools and custom workflows to accelerate data collection and validation while meeting requirements. - Ensure reliable extraction from dynamic and interactive sources, adapting to JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, and formatting adherence. - Scale scraping operations for large datasets using batching or parallelization; monitor failures and adjust to site changes. Qualifications: - At least 3 years of relevant experience in data engineering, web scraping, automation, or software development. - Bachelor’s or Master’s in Engineering, Applied Mathematics, Computer Science, or related fields is a plus. - Strong Python scraping experience (BeautifulSoup, Selenium or similar)

Mindrift is seeking a skilled Python Data Scraping Engineer to join the Tendem project. This freelance, part-time remote role is ideal for professionals with hands-on experience in web scraping, data extraction, and processing. The Mindrift platform connects specialists with innovative technology projects and aims to advance high-quality AI technologies through real world expertise and AI development efforts. As a Python Data Scraping Engineer, you will manage data scraping tasks requiring technical precision for web extraction and processing, using tools such as Apify, OpenRouter, and other technologies, applying your own approaches. Responsibilities: - Own end-to-end data extraction workflows across complex websites, ensuring coverage, accuracy, and delivery of structured datasets. - Leverage tools and custom workflows to accelerate data collection and validation while meeting requirements. - Ensure reliable extraction from dynamic and interactive sources, adapting to JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, and formatting adherence. - Scale scraping operations for large datasets using batching or parallelization; monitor failures and adjust to site changes. Qualifications: - At least 3 years of relevant experience in data engineering, web scraping, automation, or software development. - Bachelor’s or Master’s in Engineering, Applied Mathematics, Computer Science, or related fields is a plus. - Strong Python scraping experience (BeautifulSoup, Selenium or similar)