Senior Python Data Scraping Engineer – Freelance

Mindrift

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

Posted 9/25/2026part-timeRemote • United StatesSenior💰 $45 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 and tools. Proficient in handling dynamic web content and scaling operations for large datasets using automation and cloud infrastructure.

Highest-signal resume keywords

Python Web ScrapingData Extraction WorkflowsDynamic Content HandlingCloud Infrastructure (AWS)Data Cleaning and Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Web ScrapingScriptingAutomationData ExtractionData NormalizationData ValidationDynamic Content (JS, AJAX)APIs via ProxiesContainerization (Docker)LLM Frameworks (LangChain)

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

BeautifulSoupSeleniumApifyOpenRouterGitHub

Industry Keywords

Data EngineeringWeb ScrapingAutomationSoftware DevelopmentStructured Datasets

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 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
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 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
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 at Upper-intermediate (B2) or above
GitHub link is a plus

Benefits

Comp & perks

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