Senior Python Data Scraping Engineer (Freelance) - Tendem Project

As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

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 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.

Educational Qualifications

• At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
• A Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

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.

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).

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.