Senior Python Data Scraping Engineer – Freelance

This is a fully remote position, open to applicants in Brazil, +5 more countries.

📋 Description

• Take ownership of comprehensive data extraction workflows across intricate websites, ensuring thorough coverage, accuracy, and dependable delivery of structured datasets.

• Utilize available tools and customized workflows to expedite data collection, validation, and task execution while adhering to specified requirements.

• Guarantee reliable extraction from dynamic and interactive web sources, adjusting methods for JavaScript-rendered content and evolving site behaviors.

• Implement data quality standards through validation checks, cross-source consistency controls, formatting specifications, and systematic verification prior to delivery.

• Scale scraping operations for large datasets by employing efficient batching or parallelization techniques.

• Monitor failures and sustain stability against minor modifications in site structure.

• Leverage expertise in web scraping, data extraction, and data processing using tools such as Apify, OpenRouter, and other relevant technologies.

⛳️ Requirements

• Minimum of 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 technical disciplines is advantageous.

• Strong technical foundation and hands-on experience with scripting, automation, and data extraction workflows.

• Extensive experience in Python web scraping (BeautifulSoup, Selenium, or similar), including handling dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.

• Proven capability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).

• Solid experience in data cleaning, normalization, and validation, delivering organized datasets (CSV, JSON, Google Sheets).

• Demonstrated history of managing anti-bot mechanisms and dynamic site structures at scale.

• Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of practical workflows.

• Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.

• Strong attention to detail and dedication to data accuracy.

• Self-motivated work ethic with the ability to troubleshoot independently.

• Proficiency in English: Upper-intermediate (B2) or higher.

• A link to GitHub is a plus.

🏝️ Benefits

• Freelance opportunity.

• Part-time remote work.

• Estimated 10–20 hours per week during active project phases.