Senior Data Scraping Engineer, Python

Mindrift

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

Posted 10/4/2026part-timeRemote • Japan, South Korea, New Zealand, SingaporeSenior💰 $40 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 ValidationCloud Infrastructure (AWS)Data Cleaning and NormalizationContainerization (Docker)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ExtractionWeb ScrapingData EngineeringAutomationDynamic Content HandlingAPIs via ProxiesData Structuring (CSV, JSON, Google Sheets)Anti-Bot MechanismsLLM Frameworks (LangChain, OpenRouter)Complex HTML Structures

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting Ability

Tools & Technologies

BeautifulSoupSeleniumApifyOpenRouterDocker

Industry Keywords

Data QualityData AccuracyWeb ExtractionDynamic Site StructuresData Coverage

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
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
Use tools such as Apify, OpenRouter, and other technologies for 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, 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
Experience with containerization using 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 and ability to troubleshoot independently
English proficiency at Upper-intermediate (B2) or above
GitHub link is a plus

Benefits

Comp & perks

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