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Freelance Data Engineering Jobs (NOW HIRING)

Data Engineer (San Francisco)

San Francisco, CA ยท On-site

$133K - $160K/yr

... Data Engineering Roles on the Market Right Now We're partnered with a fast-scaling, product-led ... Training (Freelance, Remote) San Francisco, CA $170,000.00-$210,000.00 2 months ago Software ...

You'll be among the first we reach out to when new freelance opportunities go live. Key ... Data Engineering: PostgreSQL, MySQL, SQL Server, Kafka, Airflow, Spark * Quality Assurance: Test ...

You'll be among the first we reach out to when new freelance opportunities go live. Key ... Data Engineering: PostgreSQL, MySQL, SQL Server, Kafka, Airflow, Spark * Quality Assurance: Test ...

We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Lead Data Engineer

San Francisco, CA ยท On-site

$134K - $161K/yr

The ideal candidate will bring deep expertise in modern data engineering, cloud-native ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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Freelance Data Engineering information

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$14

$47

$132

How much do freelance data engineering jobs pay per hour?

As of Aug 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.

What is freelance data engineering?

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 as a freelance data engineer?

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:
Infographic showing various Freelance Data Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Associate Director, Data Engineering

Publicis Groupe Holdings B.V

Manhattan, NY โ€ข On-site

$112K - $179K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Job description

Company description
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Overview
As a Data Engineer, you will develop and deliver solutions that enable our agency teams to win in a very competitive marketplace. The right candidate will be somebody who is motivated to get it done, loves to continually learn and builds software applying modern technologies and strong engineering practices.
Our team is looking for a high-performing Associate Director, Data Engineering who will be responsible for the development, implementation and ongoing support of a data driven software platform. The candidate must be a self-starter with a sense of urgency and a commitment to quality and professionalism. In addition, a strong background in the following areas will significantly improve the candidate's ability to get going quickly:
  • Strong understanding of media measurement and currency datasets
  • Cloud infrastructure and data processing technologies

Responsibilities
  • Analyze business requirements and partner with product owners to build a scalable solution.
  • Integrate with 3rd party API's for data consumption.
  • Work independently on data analysis and ETL design & development.
  • Collaborate across product teams to build solutions that achieve business objectives.
  • Use standard methodologies for data architecture and data processing.
  • Optimize and scale backend systems for performance, reliability, and scalability.
  • Draft user-friendly documentation for each solution.
  • Work on projects in an agile environment.

Qualifications
โ€ข Minimum Bachelor's Degree in Computer Sciences, Information Technology, or its equivalent.
โ€ข 10+ years' experience with SQL, databases and creating scalable ETL pipelines.
โ€ข Experience and thorough understanding of RESTful APIs is required (AdTech APIs preferred).
โ€ข Knowledge and experience in Python, specifically extensive experience working with any data manipulation/analysis library is required.
โ€ข Understanding of Spark required.
โ€ข Experience Dagster + and or Airflow is required.
โ€ข AWS and Databricks Certifications a bonus
โ€ข Comfortable with data warehousing concepts, preparing data, and configuring automated workflows.
โ€ข Excellent communication and presentation skills as well as an analytical approach.
โ€ข Strong data analysis skills are required.
โ€ข Experience connecting and merging disparate datasets.
โ€ข Strong organizational skills & attention to detail.
โ€ข Possess a desire to work for a fast-paced, results-based company.
Additional information
Our Publicis Groupe motto "Viva La Diffรฉrence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $112,290.00 - USD $179,712.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/7/2026.