Senior Python Data Scraping Engineer – Freelance

Mindrift

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

Posted 9/25/2026part-timeRemote • Texas • United StatesSenior💰 $45 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data extraction workflows, ensuring accuracy and reliability of structured datasets. Proficient in Python web scraping, data validation, and cloud infrastructure management.

Highest-signal resume keywords

Python Web ScrapingData ValidationCloud Infrastructure (AWS)Data Cleaning and NormalizationDynamic Content Extraction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Web ScrapingData ExtractionData ProcessingData Quality AssuranceData Structuring (CSV, JSON, Google Sheets)Dynamic Site HandlingAutomationAPI IntegrationContainerization (Docker)LLM Frameworks (LangChain, OpenRouter)

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

ApifyOpenRouterBeautifulSoupSeleniumAWSDocker

Industry Keywords

Data EngineeringWeb ScrapingAutomationSoftware DevelopmentDynamic Content

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 from dynamic and interactive web sources, including JavaScript-rendered content
Adapt scraping approaches to changing site behavior and structures
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 tools such as Apify, OpenRouter, and other technologies to web extraction and processing

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 (BeautifulSoup, Selenium or similar), including 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 with ability to troubleshoot independently
A link to GitHub is a plus
English proficiency: Upper-intermediate (B2) or above

Benefits

Comp & perks

Freelance opportunity
Part-time schedule estimated at 10–20 hours per week during active project phases
Remote work
Opportunity to work on innovative technology and AI development projects