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Mindrift

Senior Python Data Scraping Engineer – Freelance

Mindrift

. Handle end-to-end data extraction workflows across complex websites .

Posted 10/4/2026part-timeRemote • SpainSenior💰 $40 per hourWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in end-to-end data extraction workflows, ensuring data quality and accuracy while utilizing advanced web scraping techniques and tools. Proficient in handling complex data structures and delivering structured datasets efficiently.

Highest-signal resume keywords
Python Web ScrapingData Cleaning and ValidationDynamic Content ExtractionCloud Infrastructure (AWS)Containerization (Docker)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringWeb ScrapingAutomationData NormalizationData ExtractionAPIs via ProxiesBeautifulSoupSeleniumLLM FrameworksData Delivery (CSV, JSON, Google Sheets)
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
ApifyOpenRouterDockerGitHub
Industry Keywords
Data QualityDynamic Site StructuresAnti-Bot MechanismsComplex Data StructuresWeb Extraction Workflows

Tech Stack

Tools & technologies
AWSCloudDockerJavaScriptPythonSelenium

About the role

Key responsibilities & impact
  • Handle end-to-end data extraction workflows across complex websites
  • Ensure complete coverage, accuracy, and reliable delivery of structured datasets
  • Use tools and custom workflows to accelerate data collection, validation, and task execution
  • Extract data from dynamic and interactive web sources, including JavaScript-rendered content
  • Adapt scraping approaches to changing site behavior
  • Enforce data quality through validation checks, cross-source consistency controls, formatting compliance, and systematic verification
  • Scale scraping operations for large datasets using efficient batching or parallelization
  • Monitor failures and maintain stability against minor site structure changes
  • Apply tools such as Apify, OpenRouter, and other technologies to web extraction and processing workflows

Requirements

What you’ll need
  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development
  • 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, including BeautifulSoup, Selenium or similar, dynamic content (JS, AJAX, infinite scroll), and APIs via proxies
  • Ability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML
  • Solid background in data cleaning, normalization, and validation
  • Experience delivering structured datasets in CSV, JSON, and Google Sheets
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure such as AWS or equivalent
  • Experience with containerization using Docker
  • Hands-on experience with LLM frameworks such as LangChain, OpenRouter, or similar, applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic and ability to troubleshoot independently
  • English proficiency at Upper-intermediate (B2) or above
  • GitHub link is a plus

Benefits

Comp & perks
  • Freelance opportunity
  • Part-time remote work
  • Estimated 10–20 hours per week during active project phases
  • Up to $40 per hour equivalent, depending on level and pace of contribution