Senior Python Data Scraping Engineer

This is a fully remote position, open to applicants in Arizona, +5 more states.

📋 Description

• Manage comprehensive data extraction workflows across intricate websites.

• Guarantee full coverage, precision, and dependable delivery of structured datasets.

• Leverage available tools and tailor workflows to expedite data collection, validation, and task execution.

• Efficiently extract data from dynamic and interactive web sources, adapting to JavaScript-rendered content and evolving site behaviors.

• Uphold data quality through validation checks, cross-source consistency controls, formatting specifications, and systematic verification.

• Scale scraping operations for extensive datasets using effective batching or parallelization techniques.

• Monitor failures and ensure stability against minor changes in site structure.

• Utilize tools such as Apify, OpenRouter, and other technologies in conjunction with technical expertise and customized approaches.

• Engage in specialized data scraping workflows for practical applications as part of the Tendem project.

⛳️ Requirements

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

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

• Proven ability to solve complex problems and utilize modern development tools and technologies.

• Experience in systematically collecting, organizing, and validating data from various sources.

• Significant expertise in Python web scraping, including BeautifulSoup, Selenium or similar tools, handling dynamic content (JS, AJAX, infinite scroll), and working with APIs through proxies.

• Capability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML.

• Background in data cleaning, normalization, and validation, providing structured datasets in formats such as CSV, JSON, or Google Sheets.

• Experience managing anti-bot measures and dynamic site structures on a large scale.

• Familiarity with cloud infrastructure such as AWS or equivalent, and containerization using Docker.

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

• Strong attention to detail and a commitment to data accuracy.

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

• Proficiency in English at Upper-intermediate (B2) level or above.

• A GitHub link is advantageous.

• A Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

🏝️ Benefits

• Part-time freelance opportunity.

• Remote work environment.

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

• Contributors can earn up to $45 per hour, depending on their level of experience and contribution pace.