Note: The job is a remote job and is open to candidates in USA. Mindrift connects specialists with innovative technology projects to help develop high-quality AI technologies. The freelance Python Data Scraping Engineer will manage end-to-end web scraping, data extraction, processing, validation, and delivery workflows for the Tendem project, including dynamic websites and large datasets.
Responsibilities
- Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
- Leverage available tools and 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
Skills
- At least **3+ years** of relevant experience in data engineering, web scraping, automation, or software development (required)
- Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows
- We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources
- A methodical, detail-oriented approach and the ability to work independently are essential
- 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
- English proficiency: Upper-intermediate (B2) or above (required)
- Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- A link to GitHub is a plus
Benefits
- Part-time remote opportunity
- Tasks are estimated to require around 10–20 hours per week during active phases
Company Overview