Senior Python Data Scraping Engineer

Mindrift

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

Posted 10/4/2026part-timeRemote • Georgia, Armenia, Azerbaijan, Kazakhstan, UzbekistanSenior💰 $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in end-to-end data extraction workflows, ensuring data accuracy and reliability while utilizing advanced web scraping techniques and tools. Proficient in handling complex data structures and maintaining data quality through systematic validation and cleaning processes.

Highest-signal resume keywords

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

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringWeb ScrapingAutomationData ExtractionBeautifulSoupSeleniumAPIs via ProxiesData NormalizationCSV, JSON, Google SheetsAnti-Bot Mechanisms

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

ApifyOpenRouterDocker

Industry Keywords

Data QualityDynamic Site StructuresComplex Data StructuresData AccuracyWeb Sources

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
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 alongside technical expertise

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, delivering structured datasets in CSV, JSON, or Google Sheets
Demonstrated 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 with ability to troubleshoot independently
English proficiency at Upper-intermediate (B2) or above
A link to GitHub is a plus

Benefits

Comp & perks

Part-time remote freelance opportunity
Estimated 10–20 hours per week during active project phases
Opportunity to work on innovative technology and AI development projects