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Part Time Freelance Data Engineer Jobs (NOW HIRING)

Fox

Freelance Production Assistant, Media Desk

New York, NY

$68.75 - $77.75/hr

... part time freelance schedule. There is an opportunity for this role to lead into a full-time staff position with company benefits. A SNAPSHOT OF YOUR RESPONSIBILITIES * Attach editorial meta-data ...

VDA, Inc.

Freelance CNC Operator

Somerville, MA · On-site

$22.25 - $30.50/hr

We are currently hiring for multiple temporary, part-time, and freelance positions, including ... Collaborate with production managers, engineers, and shop leads to optimize workflows and output.

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How much do part time freelance data engineer jobs pay per hour?

As of Aug 28, 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.

What is a part-time freelance data engineer?

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.

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.

What are some common challenges faced by part-time freelance data engineers when managing multiple client projects simultaneously?

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.
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Part Time Freelance Data Engineer jobs near you
Infographic showing various Part Time Freelance Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Dallas, TX • Remote

$37/hr

Part-time

Re-posted 17 days ago

Job description

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.

In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

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 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 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.

Educational qualifications

  • At least 3+ 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 web technologies and data processing tools, 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

  • 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)

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 $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.

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