Senior Python Data Scraping Engineer

Mindrift

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

Posted 9/25/2026part-timeRemote • Serbia, Cyprus, Malta, Bosnia & Herzegovina, Lithuania, LatviaSenior💰 $45 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data extraction workflows, utilizing Python and modern web scraping tools to ensure data accuracy and reliability. Proficient in handling complex data structures and implementing validation checks to deliver structured datasets.

Highest-signal resume keywords

Python Web ScrapingData Extraction WorkflowsData Validation and CleaningCloud Infrastructure (AWS)Automation and Scripting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringWeb ScrapingAutomationData StructuringData NormalizationDynamic Content ExtractionAnti-Bot MechanismsScriptingData Quality AssuranceProblem Solving

Soft Skills

Attention to DetailSelf-Directed Work EthicIndependent Troubleshooting

Tools & Technologies

BeautifulSoupSeleniumDockerLangChainOpenRouterCSVJSONGoogle Sheets

Industry Keywords

Data AccuracyData ExtractionDynamic Web SourcesComplex WebsitesStructured Datasets

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 reliably 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 Python, 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 technical foundation and practical experience with scripting, automation, and data extraction workflows
Experience solving non-trivial problems and using modern development tools and technologies
Experience systematically collecting, structuring, and validating data from diverse sources
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
Experience in data cleaning, normalization, and validation, delivering structured datasets in CSV, JSON, and Google Sheets
Experience handling anti-bot mechanisms and dynamic site structures at scale
Experience with cloud infrastructure such as AWS or equivalent and containerization with 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: Upper-intermediate (B2) or above
A link to GitHub is a plus

Benefits

Comp & perks

Freelance, part-time remote opportunity
Estimated 10–20 hours per week during active project phases
Compensation up to $45 per hour equivalent, depending on level and pace of contribution