Senior Python Data Scraping Engineer – Freelance

Mindrift

. Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets .

Posted 10/4/2026part-timeRemote • Brazil, Argentina, Colombia, Chile, Mexico, PeruSenior💰 $25 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in web scraping, data extraction, and automation, with a strong foundation in Python and experience in handling complex data structures. Proficient in ensuring data quality and reliability while leveraging cloud infrastructure and containerization for scalable solutions.

Highest-signal resume keywords

Python Web ScrapingData Extraction WorkflowsData Cleaning and ValidationCloud Infrastructure (AWS)Containerization (Docker)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Web ScrapingData ExtractionScriptingAutomationData ProcessingData NormalizationDynamic Content HandlingAPIs via ProxiesData Quality StandardsAnti-Bot Mechanisms

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

BeautifulSoupSeleniumApifyOpenRouterLangChainDocker

Industry Keywords

Data EngineeringAutomationSoftware DevelopmentStructured DatasetsCloud Infrastructure

Tech Stack

Tools & technologies

AWSCloudDockerJavaScriptPythonSelenium

About the role

Key responsibilities & impact

Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements
Ensure reliable extraction from dynamic and interactive web sources, adapting approaches for JavaScript-rendered content and changing site behavior
Enforce data quality standards through validation checks, cross-source consistency controls, formatting specifications, and systematic verification before delivery
Scale scraping operations for large datasets using efficient batching or parallelization
Monitor failures and maintain stability against minor site structure changes
Apply expertise in web scraping, data extraction, and data processing using 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 (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
Hands-on experience with LLM frameworks (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: Upper-intermediate (B2) or above
A link to GitHub is a plus

Benefits

Comp & perks

Freelance opportunity
Part-time remote work
Estimated 10–20 hours per week during active project phases