Senior Data Scraping Engineer, Python

Mindrift

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

Posted 10/4/2026part-timeRemote • Philippines, Malaysia, Indonesia, South AfricaSenior💰 $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data extraction workflows and web scraping techniques, with a strong focus on data quality, validation, and handling dynamic web content. Proficient in Python and familiar with cloud infrastructure and containerization for scalable data operations.

Highest-signal resume keywords

Python Web ScrapingBeautifulSoupSeleniumData ValidationAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData CleaningData NormalizationDynamic Content HandlingAPIs via ProxiesData StructuringBatch ProcessingParallelizationAnti-Bot MechanismsLLM Frameworks

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

DockerGoogle SheetsCSVJSON

Industry Keywords

Data EngineeringWeb ScrapingAutomationSoftware DevelopmentCloud Infrastructure

Tech Stack

Tools & technologies

AWSCloudDockerJavaScriptPythonSelenium

About the role

Key responsibilities & impact

Handle end-to-end data extraction workflows across complex websites
Deliver complete, accurate, and reliable 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
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

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, including BeautifulSoup, Selenium or similar, dynamic content, 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
English proficiency: Upper-intermediate (B2) or above

Benefits

Comp & perks

Freelance project opportunity
Part-time remote work
Estimated 10–20 hours per week during active project phases
Up to $30 per hour equivalent, depending on level and pace of contribution