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Freelance Data Engineer Jobs (NOW HIRING)

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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 Jul 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.

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.

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:
Infographic showing various Freelance Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Platform Engineer with Databricks & Unity Catalog- Seattle WA

SysMind Tech

Seattle, WA โ€ข On-site

$130K - $156K/yr

Full-time

Posted 18 days ago


Job description

Description:
Need someone for Data Platform Engineer with Databricks and Unity Catalog.
Data Platform Engineer with Databricks and Unity Catalog.
location Seattle WA
4 days office is must
any visa is fine
rate- 80-87- flexible for right candidate
core skills
Experience - 10+ years
Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.
Design and maintain data models and scpersonmas, incorporating Unity Catalog and Collibra data governance practices.
Ensure data security and compliance with regulations using Databricks and Privacera's features.
Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups.
Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions
Enable Skills-Based Hiring No Can we use Freelancer?
Additional Details
  • Global Grade : D
  • Can we use Freelancer? : No
  • Named Job Posting? (if Yes - needs to be approved by SCSC) : No
  • Remote work possibility : (No Value)
  • Global Role Family : 60239 (P) Cloud Infrastructure
  • Local Role Name : Data Platform Engineer with Databricks & Unity Catalog-
  • Local Skills : Data Platform Engineer with Databricks & Unity Catalog-
  • Languages Required: : english