Senior Data Scraping Engineer (Python)

Mindrift (Toloka); United States; On-site; USD 55,000 - 69,000; Part time

Job summary

AI Trainer Jobs is seeking a Senior Python Data Scraping Engineer for a freelance Tendem project. You will own end-to-end data extraction workflows across complex websites, delivering structured datasets with accuracy and reliability.

Must have 5+ years in data engineering or web scraping, strong Python skills, and hands-on experience with anti-bot measures, cloud infra, and LangChain/OpenRouter. Remote, international scope; up to $45/hour.

Qualifications

• 5+ years in data engineering, web scraping, automation or software development.
• Strong scripting, automation, and data extraction workflows.
• Ability to solve non-trivial problems independently.
• Experience with anti-bot mechanisms and dynamic site structures.

Responsibilities

• Own end-to-end data extraction workflows across complex websites.
• Leverage tools and workflows to accelerate data collection and validation.
• Ensure reliable extraction from dynamic sources and JS-rendered content.
• Enforce data quality via validation checks and formatting standards.
• Scale scraping operations using batching or parallelization.

Skills

Python

BeautifulSoup

Selenium

Dynamic content handling

Data cleaning

Data normalization

Data validation

APIs via proxies

Proxies & anti-bot

Parallel scraping

Education

Bachelor’s degree in Engineering, Applied Mathematics, or Computer Science

Master’s degree in Engineering, Applied Mathematics, or Computer Science

Tools

Docker

AWS

LangChain

OpenRouter

Job description

About the Role

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

• Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
• Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
• Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
• Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
• Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

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.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

• 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)

Additional requirements

• 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
• A link to GitHub is a plus

English proficiency

Upper-intermediate (B2) or above (required)

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $45 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.