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Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ...

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As of Jun 12, 2026, the average hourly pay for part time freelance data engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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A part-time freelance data engineer is a professional who works independently, rather than as a full-time employee, to design, build, and maintain data systems for clients on a flexible, project-based schedule. They are typically hired by companies or organizations that need specialized data engineering skills but do not require a full-time staff member. Responsibilities often include developing data pipelines, optimizing databases, and ensuring data quality and accessibility. Freelance data engineers usually work remotely and manage multiple projects for different clients, allowing for flexible hours and diverse work experiences.

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Part-time freelance data engineers often juggle several client projects at once, which can lead to challenges in time management, prioritization, and communication. Balancing different clients' expectations and technical requirements requires strong organizational skills and the ability to quickly adapt to new tools and data environments. Clear communication and setting realistic deadlines are essential to ensure all stakeholders are aligned and deliverables are met. Additionally, freelancers must stay updated on data engineering best practices and technologies to provide high-quality solutions while maintaining efficiency.

What are the key skills and qualifications needed to thrive as a Part Time Freelance Data Engineer, and why are they important?

To thrive as a Part Time Freelance Data Engineer, you need expertise in data modeling, ETL processes, and proficiency with programming languages like Python or SQL, often supported by a computer science degree or relevant certifications. Familiarity with cloud platforms (such as AWS or Google Cloud), data warehousing tools (like Snowflake or Redshift), and workflow orchestration systems is typically required. Strong problem-solving abilities, self-motivation, and clear client communication are essential soft skills for managing diverse projects independently. These skills and qualities are crucial for delivering reliable, scalable solutions on time and meeting client expectations in a flexible freelance environment.
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Infographic showing various Part Time Freelance Data Engineer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 47% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Houston, TX • Remote

$37/hr

Part-time

Posted 15 hours ago

Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control 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.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

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

Key Responsibilities

  • 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.

Compensation

On this project, contributors can earn up to $37 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.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.

Requirements

  • At least 3 year 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 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 ability to troubleshoot independently.
  • A link to GitHub is a plus.
  • English proficiency: Upper-intermediate (B2) or above (required).

Benefits

Why this freelance opportunity might be a great fit for you?

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply