Senior Python Data Scraping Engineer – Freelance

Mindrift

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

Posted 9/25/2026part-timeRemote • Israel, Jordan, Lebanon, Turkey, ArmeniaSenior💰 $25 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data extraction workflows, ensuring data quality and accuracy while utilizing advanced web scraping techniques. Proficient in Python and familiar with cloud infrastructure and containerization for scalable data operations.

Highest-signal resume keywords

Python Web ScrapingData Cleaning and ValidationCloud Infrastructure (AWS)Dynamic Content ExtractionLLM Frameworks (LangChain)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringWeb ScrapingAutomationData NormalizationData ExtractionAPIs via ProxiesDynamic Site StructuresAnti-Bot MechanismsCSV and JSON FormattingSelenium

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

BeautifulSoupDockerApifyOpenRouterLangChain

Industry Keywords

Data QualityStructured DatasetsWeb AutomationDynamic Web SourcesComplex 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, including JavaScript-rendered content
Adapt scraping approaches to changing site behavior and structures
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
Apply tools such as Apify, OpenRouter, and other technologies

Requirements

What you’ll need

At least 5+ years 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)
Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
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)

Benefits

Comp & perks

Freelance, part-time remote opportunity
Estimated 10–20 hours per week during active project phases
Access to innovative technology projects through the Mindrift platform
Opportunity to contribute to AI development efforts and real-world applications