Senior Python Data Scraping Engineer – Freelance

Mindrift

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

Posted 9/25/2026part-timeRemote • Sweden, Denmark, Finland, Norway, Austria, BelgiumSenior💰 $45 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python web scraping, data extraction, and automation, with a strong focus on data quality and accuracy. Proficient in handling complex data structures and utilizing cloud infrastructure and containerization for scalable solutions.

Highest-signal resume keywords

Python Web ScrapingData Extraction WorkflowsBeautifulSoupSeleniumCloud Infrastructure (AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAutomationData CleaningData NormalizationData ValidationDynamic Content ExtractionAPIs via ProxiesHandling Anti-Bot MechanismsLLM FrameworksScripting

Soft Skills

Attention to DetailSelf-Directed Work EthicProblem Solving

Tools & Technologies

DockerGoogle SheetsCSVJSONLangChainOpenRouter

Industry Keywords

Web ScrapingData ExtractionAutomationDynamic Site StructuresComplex Websites

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 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
Apply Python web scraping, data extraction, processing, automation, and LLM tools within the Tendem project
Work independently to solve non-trivial problems and troubleshoot technical issues

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, 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
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 (AWS or equivalent) and containerization (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: Upper-intermediate (B2) or above (required)

Benefits

Comp & perks

Part-time remote freelance opportunity
Estimated workload of 10–20 hours per week during active phases (not guaranteed)
Compensation up to $45 per hour equivalent, depending on level and pace of contribution