Freelance Data Scraping Engineer (Python)
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Key skills for this role
About the Role
Mindrift seeks a Freelance Data Scraping Engineer (Python) to drive specialized data scraping workflows within a hybrid AI + human system. The role involves end-to-end data extraction, quality control, and scaling operations.
Key Skills for This Role
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
- Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed for JavaScript rendered content
- Enforce data quality standards through validation checks, cross source consistency controls, 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 changes
Requirements
- At least 3 years of relevant experience in data engineering, web scraping, automation, or software development
- Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content and APIs via proxies
- Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
- Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
- Hands on experience with LLMs and AI frameworks to enhance automation and problem solving
- English proficiency: Upper intermediate (B2) or above
Full Job Posting
About the Role
- Mindrift is looking for highly skilled 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.
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 changes.
Compensation
- On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.
- Compensation varies across projects depending on scope, complexity, and required expertise.
Requirements
- At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
- Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
- Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
- Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
- Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
- Hands on experience with LLMs and AI frameworks to enhance automation and problem solving.
- Strong attention to detail and commitment to data accuracy.
- Self directed work ethic with ability to troubleshoot independently.
- A link to GitHub is a plus.
- English proficiency: Upper intermediate (B2) or above (required).
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