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Freelance Data Engineer Jobs (NOW HIRING)

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 ...

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

Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities. * Edit the work of freelancers and ensure that ...

Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities. * Edit the work of freelancers and ensure that ...

Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities. * Edit the work of freelancers and ensure that ...

AI Software Engineer

Manhattan, NY · On-site +1

$120K - $200K/yr

... Freelance, Remote) Data Engineer, Analytics (Technical Leadership) United States $206,000.00-$281,000.00 1 week ago United States $170,000.00-$720,000.00 1 week ago Chicago, IL $100,000.00-$120,000 ...

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Freelance Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do freelance data engineer jobs pay per year?

As of Jun 5, 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 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 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.

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.
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:
Infographic showing various Freelance Data Engineer job openings in the United States as of May 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 60% In-person, 2% Hybrid, and 38% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Engineer / Developer - Freelance (Remote)

Space44

Remote

Full-time

Posted 19 days ago


Job description

Company Overview
At SPACE44, we empower tech startups and innovative companies across the US and Europe by delivering top-tier software engineers and comprehensive HR solutions. Unlike traditional staffing agencies, we accelerate innovation by providing performant hiring pipelines, efficient onboarding processes, performance management, and administrative assistance as an end-to-end service. Our unique approach ensures precise integration and high team performance in full-remote, nearshore, and offshore settings.
We enhance your work-life balance by offering opportunities that align your personal and professional aspirations. Work remotely to seamlessly integrate your career with your lifestyle and bring everything into a flow. We offer you a dynamic and supportive environment where you can develop and grow. Join a forward-thinking team that values the joy of work, openness, and cross-cultural collaboration. At SPACE44, let's shape the future of modern work together.
Who We Are Looking For?
We're building our expert pipeline of outstanding freelance engineers and developers for upcoming client projects. These include roles across a variety of specializations such as full-stack development, cloud infrastructure, DevOps, data engineering, testing and automation, platform engineering, and more.
This is not tied to a specific position but offers the opportunity to join our expert network. You'll be among the first we reach out to when new freelance opportunities go live.
Key Responsibilities:
Will vary depending on the specific engineering or development role, but may include:
  • Architecting scalable and secure applications
  • Building APIs and frontend interfaces
  • Automating infrastructure and deployments
  • Designing ETL pipelines and data architecture
  • Implementing test automation frameworks
  • Securing infrastructure and cloud environments
  • Participating in remote Agile teams

Requirements:
  • Minimum 5 years of professional experience in a relevant engineering discipline
  • Proficiency in one or more technical domains, such as:
    • Backend: Java, Node.js, Python, Go, PHP
    • Frontend: React, Angular, Vue.js, TypeScript, HTML/CSS
    • DevOps & Infrastructure: AWS, Azure, GCP, Kubernetes, Terraform, Docker
    • Data Engineering: PostgreSQL, MySQL, SQL Server, Kafka, Airflow, Spark
    • Quality Assurance: Test automation, performance testing, CI pipelines
  • Fluent English communication skills
  • Proven ability to collaborate remotely in international teams
  • Ability to work independently in a distributed team
  • Strong analytical thinking and communication skills

Nice to Have:
  • Experience working in startups or early-stage products
  • Exposure to CI/CD, cloud-native development, or LLM/AI tools
  • Open-source contributions or personal portfolio work

Embark on your SPACE44 journey with a few simple steps:
  • Hireflix Chat (20 min): Share how you work and what matters most to you
  • HR Sync (45 min): Connect your experience with our goals
  • Code Challenge: Complete a 1-2 hour coding session
  • Psychometric Insight: Take a 1-hour assessment exploring your strengths and working style

Benefits
  • Flexible Work Schedule: Enjoy a non-linear workday designed to enhance productivity and maintain a harmonious work-life balance, with core hours for team collaboration.
  • Professional Growth: Access advanced training opportunities in data science and machine learning to boost your career prospects.
  • Innovative Projects and Tools: Engage in cutting-edge projects using the latest tools and technologies within a progressive remote work environment.
  • Competitive Income: Receive a competitive income with regular performance reviews and potential raises every six months.
  • Global Team Dynamics: Collaborate with a diverse, international team that values openness and teamwork.