Senior Python Data Scraping Engineer – Freelance

Mindrift

. Join the Tendem project and drive specialized data scraping workflows for real-world applications .

Posted 10/4/2026part-timeRemote • Serbia, Cyprus, Malta, Bosnia & Herzegovina, Lithuania, LatviaSenior💰 $45 per hourWebsite

Core Competencies

Role fit

Core Competencies

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

Expertise in data scraping and extraction workflows, with a strong foundation in Python and experience in handling dynamic web content. Proven ability to ensure data quality and deliver structured datasets while utilizing cloud infrastructure and automation tools.

Highest-signal resume keywords

Python Web ScrapingData Extraction WorkflowsData Cleaning and ValidationCloud Infrastructure (AWS)Automation Tools (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 EngineeringWeb ScrapingScriptingAutomationData ExtractionBeautifulSoupSeleniumData NormalizationAPIs via ProxiesHandling Anti-Bot Mechanisms

Soft Skills

Attention to DetailSelf-Directed Work EthicTroubleshooting

Tools & Technologies

ApifyOpenRouterLangChainDockerAWS

Industry Keywords

Data QualityStructured DatasetsDynamic ContentCSVJSONGoogle Sheets

Tech Stack

Tools & technologies

AWSCloudDockerJavaScriptPythonSelenium

About the role

Key responsibilities & impact

Join the Tendem project and drive specialized data scraping workflows for real-world applications
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, 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 including Apify, OpenRouter, and other technologies alongside technical expertise and custom approaches

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
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 (AWS or equivalent) and containerization (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 with ability to troubleshoot independently
A link to GitHub is a plus
English proficiency: Upper-intermediate (B2) or above (required)

Benefits

Comp & perks

Freelance opportunity
Part-time remote work
Estimated 10–20 hours per week during active project phases
Access to innovative technology projects through the Mindrift platform