Senior Python Data Scraping Engineer – Freelance

Mindrift

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

Posted 10/4/2026part-timeRemote • CanadaSenior💰 $45 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in end-to-end data extraction workflows, ensuring data accuracy and reliability through validation and quality checks. Proficient in Python web scraping techniques, including handling dynamic content and anti-bot mechanisms, while utilizing cloud infrastructure and containerization for scalable solutions.

Highest-signal resume keywords

Python Web ScrapingData Validation and Quality AssuranceCloud Infrastructure (AWS)Containerization (Docker)Dynamic Content Extraction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionWeb ScrapingData CleaningData NormalizationData ValidationAPIs via ProxiesBeautifulSoupSeleniumJavaScriptAJAX

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

ApifyOpenRouterLangChainDockerGitHub

Industry Keywords

Data EngineeringAutomationSoftware DevelopmentStructured DatasetsDynamic Site 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 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
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 (required)
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 (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
A link to GitHub is a plus
English proficiency: Upper-intermediate (B2) or above (required)

Benefits

Comp & perks

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