Senior Python Data Scraping Engineer

Mindrift

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

Posted 10/4/2026part-timeRemote • United StatesSenior💰 $45 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 data quality and accuracy while utilizing advanced tools and technologies for web scraping. Proficient in Python and familiar with cloud infrastructure and containerization to handle complex data challenges.

Highest-signal resume keywords

Python Web ScrapingData ValidationCloud Infrastructure (AWS)Data Extraction WorkflowsAutomation Tools (Selenium, BeautifulSoup)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData CleaningData StructuringScriptingAutomationDynamic Content HandlingAPI IntegrationData NormalizationBatch ProcessingParallelization

Soft Skills

Attention to DetailSelf-Directed Work EthicProblem Solving

Tools & Technologies

ApifyOpenRouterDockerGitHubLangChain

Industry Keywords

Web ScrapingData EngineeringAutomationSoftware DevelopmentData Quality Assurance

Tech Stack

Tools & technologies

AWSCloudDockerJavaScriptPythonSelenium

About the role

Key responsibilities & impact

Handle 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, 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
Use tools such as Apify, OpenRouter, and other technologies alongside technical expertise and custom approaches
Work on specialized data scraping workflows for real-world applications as part of the Tendem project

Requirements

What you’ll need

At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development
Strong technical foundation and practical experience with scripting, automation, and data extraction workflows
Experience solving non-trivial problems and using modern development tools and technologies
Experience systematically collecting, structuring, and validating data from diverse sources
Strong experience in Python web scraping, including BeautifulSoup, Selenium or similar, dynamic content (JS, AJAX, infinite scroll), and APIs via proxies
Ability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML
Background in data cleaning, normalization, and validation, delivering structured datasets in CSV, JSON, or Google Sheets
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 and ability to troubleshoot independently
English proficiency at Upper-intermediate (B2) or above
GitHub link is a plus
Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus

Benefits

Comp & perks

Part-time freelance opportunity
Remote work
Estimated 10–20 hours per week during active project phases
Contributors can earn up to $45 per hour equivalent, depending on level and pace of contribution