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Freelance Data Engineer Jobs (NOW HIRING)

Space44

Engineer / Developer - Freelance (Remote)

You'll be among the first we reach out to when new freelance opportunities go live. Key ... Designing ETL pipelines and data architecture * Implementing test automation frameworks * Securing ...

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

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How much do freelance data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for freelance data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What types of projects and clients can a Freelance Data Engineer expect to work with?

Freelance Data Engineers often work on diverse projects ranging from building custom data pipelines and automating workflows to migrating databases or developing data integration solutions for businesses of all sizes. Clients can include startups looking to build new data infrastructure, e-commerce companies seeking analytics solutions, or established enterprises aiming to modernize their data systems. Most projects require close collaboration with data scientists, analysts, or software engineering teams, and the scope can vary from short-term assignments to ongoing support. Freelancing provides flexibility to choose projects that match your expertise and interests, as well as opportunities to gain experience across multiple industries.

Is people per hour free?

PeoplePerHour is a freelance platform where clients and freelancers can connect for various projects. While creating an account is free, there may be fees or commissions applied when hiring or receiving payments, depending on the project and payment method. Freelance data engineers can use the platform to find opportunities, but should review the fee structure before committing to a project.

What is a Freelance Data Engineer job?

A Freelance Data Engineer is a self-employed professional who designs, builds, and maintains data systems for clients on a project basis. They work with databases, ETL pipelines, cloud platforms, and big data technologies to ensure efficient data storage and processing. Unlike full-time employees, freelancers have the flexibility to choose projects, set their own schedules, and work remotely. They may collaborate with data scientists, analysts, and engineers to ensure seamless data flow. Freelance Data Engineers need strong technical skills in SQL, Python, Spark, and cloud services like AWS, GCP, or Azure.

What is the hourly rate for a freelance engineer?

The hourly rate for a freelance data engineer typically ranges from $50 to $150, depending on experience, skills, and project complexity. Highly specialized engineers with advanced expertise or certifications may charge higher rates, especially for complex data pipeline or cloud integration work.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.

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

To thrive as a Freelance Data Engineer, you need strong programming skills (in languages like Python or Scala), in-depth knowledge of data modeling and ETL processes, and a solid background in databases and cloud platforms. Familiarity with tools such as Apache Spark, Hadoop, SQL, AWS, or Google Cloud, as well as relevant certifications like AWS Certified Data Analytics, is highly beneficial. Strong communication, project management, and problem-solving skills help you collaborate with clients and adapt to changing project requirements. These abilities are crucial for efficiently delivering tailored data solutions and building a reputable freelance business.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining complex data systems that require human expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on architecture, problem-solving, and ensuring data quality. Skills in programming, cloud platforms, and data modeling remain essential for the profession.
More about Freelance Data Engineer jobs
What cities are hiring for Freelance Data Engineer jobs? Cities with the most Freelance Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Freelance Data Engineer jobs? States with the most job openings for Freelance Data Engineer jobs include:
What job categories do people searching Freelance Data Engineer jobs look for? The top searched job categories for Freelance Data Engineer jobs are:
Freelance Data Engineer jobs near you
Infographic showing various Freelance Data Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY • Remote

$45/hr

Part-time

Posted 29 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.

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