Senior Python Data Scraping Engineer

Mindrift

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

Posted 9/25/2026part-timeRemote • New York • 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 while utilizing tools like Python, BeautifulSoup, and Selenium. Proficient in handling dynamic web content and anti-bot mechanisms, with a strong focus on data quality and validation.

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

Data EngineeringWeb ScrapingAutomationScriptingData NormalizationDynamic Content HandlingAPIs via ProxiesData Structuring (CSV, JSON, Google Sheets)Anti-Bot MechanismsLLM Frameworks (LangChain, OpenRouter)

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

ApifyOpenRouterBeautifulSoupSeleniumDocker

Industry Keywords

Data QualityData AccuracyWeb ExtractionDynamic Site StructuresComplex Data 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 available tools and custom workflows to accelerate data collection, validation, and task execution
Extract data from dynamic and interactive web sources, adapting to JavaScript-rendered content and 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
Utilize 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 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, 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 as part of 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
A link to GitHub is a plus

Benefits

Comp & perks

Freelance project opportunity
Part-time remote work
Estimated 10–20 hours per week during active project phases
Compensation up to $45 per hour equivalent, depending on level and pace of contribution
Opportunity to contribute to innovative technology and AI development projects