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Mindrift

Senior Python Data Scraping Engineer, Freelance

Mindrift

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

Posted 10/4/2026part-timeRemote • United StatesSenior💰 $45 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data extraction workflows, ensuring data quality and accuracy while utilizing tools for web scraping and automation. Proficient in handling dynamic web content and scaling operations for large datasets.

Highest-signal resume keywords
Python Web ScrapingData Cleaning and ValidationCloud Infrastructure (AWS)Containerization (Docker)Dynamic Content Handling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Extraction WorkflowsWeb ScrapingBeautifulSoupSeleniumAPIs via ProxiesData NormalizationAnti-Bot MechanismsLLM FrameworksTask AutomationData Accuracy
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
ApifyOpenRouterDockerGitHub
Industry Keywords
Data EngineeringWeb ScrapingAutomationSoftware DevelopmentDynamic Site Structures

Tech Stack

Tools & technologies
AWSCloudDockerJavaScriptPythonSelenium

About the role

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

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, and APIs via proxies
  • Proven ability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML
  • Solid background in data cleaning, normalization, and validation
  • 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 or OpenRouter, 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
  • Flexible estimated workload of around 10–20 hours per week during active project phases