Freelance Data Scraping Engineer (Python)

MindriftMindrift·Remote(Argentina)
Software Development
Google Sheets

WFA Digital Insight

The demand for skilled data scraping engineers has seen significant growth, with a 27% increase in job postings over the past year. Mindrift's unique approach to combining human expertise with AI agents positions them at the forefront of innovation in data processing. As a specialist in this field, you'll be working on complex projects that require precision and technical acumen. Before applying, consider the importance of staying up-to-date with the latest tools and technologies, such as Python web scraping libraries and data quality standards. With the rise of remote work, opportunities like this offer flexibility and the chance to contribute to cutting-edge projects.

Job Description

## About the Role As a Freelance Data Scraping Engineer at Mindrift, you will be integral to driving specialized data scraping workflows within a hybrid AI + human system. This role, referred to as an AI Pilot, involves collaborating with Tendem Agents to handle repetitive tasks while you provide critical thinking, domain expertise, and quality control. The objective is to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing. The Mindrift platform is designed to connect specialists with AI projects from major tech innovators. The mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. By working with Mindrift, you will be part of a innovative approach that combines human insights with AI capabilities to achieve high-quality data outputs. The role of a Freelance Data Scraping Engineer is crucial in ensuring that data extraction workflows are managed end-to-end, from initial extraction to final delivery of structured datasets. This involves leveraging various tools and technologies, including internal tools like Apify and OpenRouter, to accelerate data collection, validation, and task execution. ## What You Will Do - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.

  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • 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.
  • Collaborate with Tendem Agents to ensure seamless integration of human expertise and AI-driven processes.
  • Develop and maintain custom scripts for data extraction, processing, and quality control.
  • Perform data cleaning, normalization, and validation to deliver high-quality structured datasets.
  • Utilize Google Sheets for data presentation and reporting.
  • Stay updated with the latest technologies and methodologies in web scraping and data extraction.
## What We Are Looking For - At least 3 years of relevant experience in data engineering, web scraping, automation, or software development.
  • Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields.
  • 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).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Strong attention to detail and commitment to data accuracy.
  • Self-directed work ethic with the ability to troubleshoot independently.
  • English proficiency: Upper-intermediate (B2) or above.
## Nice to Have - Experience with Apify and OpenRouter.
  • Knowledge of cloud platforms for data storage and processing.
  • Familiarity with data visualization tools for presenting insights.
  • Participation in open-source projects related to web scraping and data extraction.
## Benefits and Perks - Competitive hourly rate based on your level and pace of contribution.
  • Opportunity to work on innovative AI projects with real-world applications.
  • Flexible, remote work arrangement with a stable internet connection.
  • Participation in performance-based bonus programs.
  • Professional development opportunities through working with cutting-edge technologies.
  • Access to a global community of specialists and experts in AI and data science.
  • Autonomy in managing your workload and schedule.

How to Stand Out

- Ensure your portfolio includes examples of complex web scraping projects, highlighting your ability to handle dynamic content and data quality control.

  • Develop a strong understanding of Python web scraping libraries and stay updated with the latest versions and best practices.
  • Prepare to discuss your approach to scaling scraping operations and handling anti-scraping measures during the interview.
  • Emphasize your experience with data cleaning, normalization, and validation, and how you ensure data accuracy in your deliveries.
  • Be ready to demonstrate your ability to work independently and troubleshoot issues that may arise during data extraction processes.

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