Senior Python Data Scraping Engineer – Freelance

Mindrift

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

Posted 10/4/2026part-timeRemote • Romania, Poland, Czechia, Hungary, Slovakia, BulgariaSenior💰 $40 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 like Python, BeautifulSoup, and Selenium. Proficient in handling complex web structures and dynamic content, with a strong foundation in data engineering and automation.

Highest-signal resume keywords

Python Web ScrapingData Extraction WorkflowsData Cleaning and ValidationCloud Infrastructure (AWS)LLM Frameworks (LangChain)

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 ScrapingAutomationScriptingData NormalizationDynamic Content HandlingAnti-Bot MechanismsData Structuring (CSV, JSON)Containerization (Docker)APIs via Proxies

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

BeautifulSoupSeleniumApifyOpenRouterAWSDocker

Industry Keywords

Data QualityData AccuracyDynamic Web SourcesWeb ExtractionComplex 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
Apply tools such as 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 (required)
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
Strong experience in Python web scraping, including BeautifulSoup, Selenium or similar, dynamic content (JS, AJAX, infinite scroll), 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 in real workflows
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 (required)

Benefits

Comp & perks

Freelance opportunity
Part-time schedule estimated at 10–20 hours per week during active project phases
Remote work
Compensation up to $40 per hour equivalent, depending on level and pace of contribution