Senior Python Data Scraping Engineer

Mindrift

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

Posted 10/4/2026part-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 from complex web sources. Proficient in Python web scraping, data validation, and cloud infrastructure management.

Highest-signal resume keywords

Python Web ScrapingData Extraction WorkflowsData ValidationCloud Infrastructure (AWS)Automation with Docker

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Applicant Tracking System Keywords

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Hard Skills

Web ScrapingData CleaningData NormalizationScriptingDynamic Content ExtractionAPIs via ProxiesHandling Anti-Bot MechanismsData Structuring (CSV, JSON, Google Sheets)Batching and ParallelizationTroubleshooting

Soft Skills

Attention to DetailSelf-Directed Work Ethic

Tools & Technologies

BeautifulSoupSeleniumApifyOpenRouterLangChainDocker

Industry Keywords

Data EngineeringWeb ScrapingAutomationSoftware DevelopmentTechnical Fields

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 and minor site structure changes
Enforce data quality through validation checks, cross-source consistency controls, formatting adherence, and systematic verification
Scale scraping operations for large datasets using efficient batching or parallelization
Monitor failures and maintain scraping stability
Work with tools such as Apify, OpenRouter, and other technologies

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

Benefits

Comp & perks

Flexible part-time remote work opportunity
Freelance project work
Potential to earn up to $45 per hour equivalent, depending on level and pace of contribution
Access to innovative technology projects through the Mindrift platform
Opportunity to contribute to AI development efforts
Estimated workload of 10–20 hours per week during active project phases