Mindrift

Senior Python Data Scraping Engineer (Freelance)

Mindrift
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4 days ago
Remote, India +5 moreSenior

Responsibilities

  • Own end-to-end data extraction workflows across complex websites and deliver accurate structured datasets.
  • Use custom workflows and available tools to collect, validate, and process data efficiently.
  • Extract data from dynamic and interactive websites, including JavaScript-rendered content and changing site structures.
  • Apply data-quality checks, cross-source consistency controls, formatting requirements, and systematic verification.
  • Scale scraping operations through batching or parallelization, monitor failures, and maintain stability against minor site changes.

Requirements

  • At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
  • Strong Python web-scraping experience with BeautifulSoup, Selenium or similar tools, including dynamic content and APIs via proxies.
  • Experience extracting data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
  • Experience cleaning, normalizing, and validating data into CSV, JSON, or Google Sheets.
  • Experience handling anti-bot mechanisms and dynamic site structures at scale.
  • Experience with AWS or equivalent cloud infrastructure and Docker containerization.
  • Hands-on experience with LLM frameworks such as LangChain or OpenRouter applied to automation tasks.
  • Upper-intermediate English proficiency at B2 level or above.
  • A bachelor’s or master’s degree in engineering, applied mathematics, computer science, or a related technical field is preferred.
  • A GitHub link is a plus.

Benefits

  • Remote freelance position based in India.
  • Part-time project with an estimated workload of 10–20 hours per week during active phases; workload is not guaranteed.
  • Compensation is up to $30 per hour equivalent, depending on level and pace of contribution.

Tech Stack

Categories

Data Engineering
Mindrift

About Mindrift

1,001-5,000 employees
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