ZipRecruiter

Log In

1

Freelance Data Engineering Jobs (NOW HIRING)

Solomon Page

Senior Data Engineer

Atlanta, GA · On-site

$45 - $55/hr

This role is part of a critical data engineering workstream and requires someone who can quickly ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

SysMind Tech

US Sogeti | US Sogeti

$56.25 - $69.75/hr

Research client Sr. Data Engineers Lead remote visa- any Rate -70-80/hr 8 months Sr. Data ... Can we use Freelancer? : No * Named Job Posting? (if Yes - needs to be approved by SCSC) : No

next page

Showing results 1-20

People also search for

All JobsData Engineering JobsFreelance Data Engineering Jobs

Freelance Data Engineering information

See salary details

$14

$47

$132

How much do freelance data engineering jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for freelance data engineering 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.

Can a data engineer work as a freelancer?

Yes, data engineers can work as freelancers by offering services such as data pipeline development, database management, and data architecture design. Successful freelancing in this field typically requires strong technical skills, experience with tools like SQL, Python, and cloud platforms, and the ability to manage projects independently.

What is a Freelance Data Engineering job?

A Freelance Data Engineering job involves designing, building, and maintaining data infrastructure on a contract basis. Freelancers work with businesses to develop ETL pipelines, optimize databases, and manage big data technologies. They often use tools like SQL, Python, Apache Spark, and cloud platforms such as AWS, Google Cloud, or Azure. This role requires strong problem-solving skills and the ability to work independently on data-related projects.

What are the key skills and qualifications needed to thrive in the Freelance Data Engineering position, and why are they important?

To excel as a Freelance Data Engineer, you need strong programming skills (Python, SQL), experience with data architecture, ETL processes, and a solid understanding of cloud platforms such as AWS or Azure. Familiarity with tools like Apache Spark, Hadoop, Airflow, and relevant certifications such as Google Cloud Professional Data Engineer or AWS Certified Data Analytics are highly valued. Exceptional communication, project management skills, and the ability to work independently are crucial soft skills in this freelance capacity. These competencies ensure you can efficiently deliver robust data solutions, manage client expectations, and adapt swiftly to diverse project needs.

What are some common challenges faced by freelance data engineers, and how can they be addressed?

Freelance data engineers often face challenges such as managing multiple clients with varying needs, keeping up-to-date with rapidly evolving technologies, and ensuring clear communication despite remote arrangements. To address these challenges, it's important to set clear project expectations from the start, maintain a consistent schedule for learning and skill development, and utilize collaboration tools for effective communication. Building a strong portfolio and leveraging professional networking can also yield steady work opportunities and referrals. Proactively addressing these areas helps freelance data engineers remain competitive and successful in the industry.

More about Freelance Data Engineering jobs
What cities are hiring for Freelance Data Engineering jobs? Cities with the most Freelance Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Freelance Data Engineering jobs? States with the most job openings for Freelance Data Engineering jobs include:
What job categories do people searching Freelance Data Engineering jobs look for? The top searched job categories for Freelance Data Engineering jobs are:
Freelance Data Engineering jobs near you
Infographic showing various Freelance Data Engineering job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 92% Full Time, 4% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY • Remote

$45/hr

Part-time

Posted 12 days ago

Job description

Mindrift is looking for highly skilled Senior 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.

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 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.

Requirements:

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

Apply