Note: The job is a remote job and is open to candidates in USA. Mindrift connects specialists with technology projects to support the development of AI technologies. The company is seeking a Senior Python Data Scraping Engineer to manage end-to-end web data extraction, validation, processing, 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 requirement
• 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 5+ 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 development tools and technologies, 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)
• Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
• Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
• Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
• 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)
• 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

• Part-time remote opportunity

Company Overview