Mindrift
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SeniorPythonDataScrapingEngineer(Freelance)
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“Senior Python Data Scraping Engineer (Freelance) at Mindrift. Skills: Python web scraping, Data extraction, Data processing, Data quality, LLM frameworks. End-to-end data extraction workflows across complex websites. Ensuring complete coverage, accuracy, and reliable delivery of structured datasets”
What You'll Achieve.
Deliver accurate and actionable results; Meet defined requirements; Deliver structured datasets
Industry & Context.
Critical thinking; Troubleshoot independently
What They're Looking For.
Must Have
5 year of relevant experience in data engineering, web scraping, automation, or software development, Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies, Ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML), Data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets), Handling anti-bot mechanisms and dynamic site structures at scale, Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows, Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks, English proficiency: Upper-intermediate (B2) or above
Nice to Have
Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields, GitHub link
What You'll Do.
End-to-end data extraction workflows across complex websites
Ensuring complete coverage
and reliable delivery of structured datasets
Leveraging internal tools (Apify
OpenRouter) alongside custom workflows to accelerate data collection
Ensuring reliable extraction from dynamic and interactive web sources
Adapting approaches to handle JavaScript-rendered content and changing site behavior
Enforcing data quality standards
Scaling scraping operations for large datasets using efficient batching or parallelization
Maintaining stability against minor site structure changes
How You'll Work.
Team & Collaboration
Collaborate with Tendem Agents
Communication Scope
English proficiency: Upper-intermediate (B2) or above
Full Job Description
Mindrift is looking for highly skilled **Senior Python Data Scraping Engineers** to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. **What We Do** The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. **About the Role** This is a freelance role for a Tendem project. As a **Senior Python Data Scraping Engineer** , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. **Key Responsibilities** * Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. * Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. * Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. * Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. * Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure
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