Senior Python Data Scraping Engineer (Freelance) - Tendem Project

Mindrift is seeking highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you will apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.

The Mindrift platform connects specialists with innovative technology projects, aiming to develop high-quality AI technologies by combining real-world expertise with advanced AI development efforts.

Key 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 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.

Requirements

• Experience: At least 5+ 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 fields is a plus.

Candidates should possess a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. You must be able to 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.

Technical Skills (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).

Additional Requirements

• 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 the ability to troubleshoot independently.
• A link to GitHub is a plus.
• English proficiency: Upper-intermediate (B2) or above (required).

The project time expectations are around 10–20 hours per week during active phases, based on project requirements.