Senior Data Scraping Engineer (Python)

TL;DR

Senior Data Scraping Engineer (Python): Developing and optimizing end-to-end data extraction workflows for AI systems with an accent on handling dynamic web content and ensuring dataset accuracy. Focus on scaling scraping operations for large datasets and integrating LLMs to enhance automation.

Location: Remote (Global)

Salary: Up to $37 per hour

Company

hirify.global connects specialists with AI projects from major tech innovators to unlock the potential of Generative AI through real-world expertise.

What you will do

• Own end-to-end data extraction workflows across complex websites to ensure accurate and structured datasets.
• Utilize internal tools such as Apify and OpenRouter alongside custom workflows to accelerate data collection.
• Manage reliable extraction from dynamic and interactive web sources, including JavaScript-rendered content.
• Enforce data quality standards through systematic validation and cross-source consistency controls.
• Scale scraping operations for large datasets using efficient batching and parallelization.

Requirements

• At least 3 years of relevant experience in data engineering, web scraping, or software development.
• Strong proficiency in Python web scraping (BeautifulSoup, Selenium) and handling APIs via proxies.
• Ability to extract data from complex structures, archived pages, and inconsistent HTML.
• Solid background in data cleaning, normalization, and delivering structured datasets (CSV, JSON).
• English: Upper-intermediate (B2) or above required.
• Bachelor's or Master’s Degree in Engineering, Computer Science, or related technical fields is a plus.

Nice to have

• Hands-on experience with LLMs and AI frameworks to enhance automation.
• A link to a GitHub portfolio.

Culture & Benefits

• Fully remote work on your own schedule.
• Opportunity to work in a unique hybrid environment where human expertise and AI agents collaborate.
• Performance-based bonus programs rewarding high-quality and consistent delivery.