Senior Python Data Scraping Engineer (Freelance) in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Python Data Scraping Engineer (Freelance) in United States.

This is a unique opportunity for an experienced data scraping professional to contribute to cutting-edge AI-driven projects within a flexible freelance environment. In this role, you will combine advanced web scraping expertise with critical thinking and automation skills to deliver highly accurate, structured datasets from complex online sources. You will work alongside AI-assisted systems while maintaining ownership of technical decisions, validation processes, and workflow optimization. The position is ideal for engineers who enjoy solving challenging extraction problems, scaling data collection pipelines, and working with modern automation and AI tools. You will have the opportunity to leverage technologies such as Python, cloud infrastructure, LLM frameworks, and dynamic web extraction methods to support innovative AI initiatives. This remote role offers flexibility, autonomy, and the chance to collaborate on impactful projects with global technology-focused teams.

• Design, manage, and optimize end-to-end web scraping workflows across complex and dynamic websites, ensuring complete and accurate data extraction.
• Develop scalable scraping solutions capable of handling JavaScript-rendered content, APIs, AJAX elements, infinite scrolling, and evolving website structures.
• Utilize internal tools alongside custom-built workflows to improve extraction efficiency, validation accuracy, and delivery performance.
• Perform data cleaning, normalization, structuring, and validation processes to ensure high-quality datasets in formats such as CSV, JSON, or spreadsheets.
• Monitor and maintain large-scale scraping operations, implementing batching, parallelization, and failure recovery techniques to ensure workflow stability.
• Handle anti-bot protections, proxies, and changing site behaviors while maintaining reliable extraction performance at scale.
• Collaborate within AI-assisted workflows by combining automation capabilities with human expertise, troubleshooting, and quality control practices.
• Contribute to continuous process improvement through technical innovation, workflow refinement, and efficient problem-solving approaches.

Requirements:

• Minimum of 5 years of professional experience in web scraping, data engineering, software development, automation, or related technical fields.
• Strong expertise in Python-based web scraping frameworks and tools such as BeautifulSoup, Selenium, or similar technologies.
• Hands-on experience extracting data from complex websites featuring dynamic content, APIs, hierarchical structures, and inconsistent HTML layouts.
• Solid understanding of data cleaning, normalization, validation, and structured dataset generation processes.
• Experience managing anti-bot protections, proxies, and large-scale scraping operations in production environments.
• Familiarity with cloud infrastructure platforms such as AWS and containerization technologies like Docker.
• Practical experience with AI-assisted automation workflows and LLM frameworks such as LangChain, OpenRouter, or equivalent tools.
• Strong analytical thinking, attention to detail, and ability to independently troubleshoot technical challenges.
• Excellent organizational skills with the ability to manage freelance deliverables and evolving project requirements effectively.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or related technical disciplines is considered a plus.
• English proficiency at upper-intermediate (B2) level or higher required.
• GitHub portfolio or examples of previous technical projects are considered an advantage.

Benefits:

• Flexible freelance remote opportunity with the ability to work from anywhere within the United States.
• Competitive compensation of up to $45 per hour equivalent based on expertise and contribution level.
• Part-time workload flexibility estimated at approximately 10–20 hours per week during active project phases.
• Opportunity to contribute to innovative AI and automation-focused initiatives with global technology impact.
• Exposure to advanced tools and frameworks related to AI-assisted workflows, cloud infrastructure, and large-scale data extraction.
• Autonomy to manage technical workflows, implement custom solutions, and optimize engineering processes independently.
• Collaborative international environment focused on technical excellence, innovation, and continuous learning.
• Opportunity to strengthen expertise across AI, automation, web scraping, and scalable data engineering practices.