Senior Python Data Scraping Engineer, Freelance

Mindrift

. Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets .

Posted 9/25/2026part-timeRemote • Egypt, Morocco, Algeria, TunisiaSenior💰 $25 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data extraction workflows, ensuring accuracy and reliability while leveraging tools for efficient data collection and validation. Proficient in handling complex web structures and dynamic content, with a strong focus on data quality and automation.

Highest-signal resume keywords

Python Web ScrapingData Cleaning and ValidationCloud Infrastructure (AWS)Containerization (Docker)LLM Frameworks (LangChain)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringWeb ScrapingAutomationData ExtractionDynamic Content HandlingData NormalizationData StructuringAnti-Bot MechanismsAPIs via ProxiesComplex Data Structures

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

BeautifulSoupSeleniumApifyOpenRouterGitHub

Industry Keywords

Data Quality StandardsStructured DatasetsDynamic Site StructuresWeb ExtractionData Validation Checks

Tech Stack

Tools & technologies

AWSCloudDockerJavaScriptPythonSelenium

About the role

Key responsibilities & impact

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 for JavaScript-rendered content and changing site behavior
Enforce data quality standards through validation checks, cross-source consistency controls, formatting specifications, and systematic verification before delivery
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
Systematically collect, structure, and validate data from diverse sources

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

Part-time remote freelance opportunity
Estimated 10–20 hours per week during active phases
Flexible project-based work through the Mindrift platform