Senior Data Scraping Engineer, Python

Mindrift

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

Posted 9/25/2026part-timeRemote • United StatesSenior💰 $45 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data extraction workflows, web scraping, and automation, with a strong foundation in Python and experience in handling dynamic content and complex data structures. Proficient in ensuring data quality and accuracy while utilizing cloud infrastructure and containerization technologies.

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

Web ScrapingScriptingData ExtractionData NormalizationData ValidationDynamic Content HandlingAnti-Bot MechanismsAPIs via ProxiesBatching and ParallelizationData Structuring (CSV, JSON)

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

BeautifulSoupSeleniumApifyOpenRouterLangChainDocker

Industry Keywords

Data EngineeringAutomationWeb ScrapingTechnical FieldsDynamic Site Structures

Tech Stack

Tools & technologies

AWSCloudDockerJavaScriptPythonSelenium

About the role

Key responsibilities & impact

Own 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 and structures
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
Apply tools such as Apify, OpenRouter, and other technologies to Tendem project workflows
Work independently on freelance project tasks

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 technical foundation and practical experience with scripting, automation, and data extraction workflows
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
English proficiency: Upper-intermediate (B2) or above (required)

Benefits

Comp & perks

Part-time remote freelance opportunity
Estimated workload of 10–20 hours per week during active project phases
Compensation of up to $45 per hour equivalent, depending on level and pace of contribution