Senior Python Data Scraping Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

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

• Utilize existing tools and tailor workflows to expedite data gathering, validation, and task execution while adhering to established requirements.

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

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

• Enhance scraping operations for extensive datasets using effective batching or parallelization, monitor for failures, and maintain stability amidst minor site structure alterations.

• Employ tools such as Apify, OpenRouter, and other technologies alongside technical skills and customized strategies.

⛳️ Requirements

• A minimum of 5+ years of pertinent experience in data engineering, web scraping, automation, or software development.

• A Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical disciplines is advantageous.

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

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

• Strong foundation in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).

• Demonstrated experience in managing anti-bot mechanisms and dynamic site structures at scale.

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

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

• Excellent 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

• Part-time freelance opportunity.

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