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Freelance Data Processing Jobs (NOW HIRING)

Solomon Page

Manager Data Engineering

Houston, TX · On-site

$80/hr

Proficiency in Python and data processing libraries such as Pandas, NumPy, or PySpark. * Strong ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Omnicom Media

Freelance Recruiter

Manhattan, NY · On-site

This is a three-month freelance opportunity, with the opportunity to continue beyond the initial ... We will process your personal data in accordance with our Recruitment Privacy Notice. Link to ...

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How much do freelance data processing jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for freelance data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What is freelance data processing?

Freelance data processing involves independently managing, organizing, and analyzing data for clients on a project or contract basis. Freelance data processors use tools and software to clean, sort, and transform raw data into usable formats, often supporting business decisions or research. Responsibilities can include data entry, validation, conversion, and reporting. This career offers flexibility and the ability to work with various industries, but requires strong attention to detail and proficiency in data-related tools.

What are the key skills and qualifications needed to thrive as a freelance data processing specialist?

To thrive as a Freelance Data Processing Specialist, you need a strong grasp of data management, statistical analysis, and attention to detail, often supported by relevant education or experience in data-related fields. Familiarity with tools like Microsoft Excel, SQL, Python, or specialized data processing software, as well as certifications in data analytics, is highly beneficial. Excellent problem-solving, time management, and communication skills help freelancers deliver accurate results and manage client relationships effectively. These skills ensure high-quality, reliable data outputs and enable independent professionals to meet diverse project requirements on time.

What are some common challenges freelance data processing professionals face when managing multiple client projects?

Freelance data processing professionals often juggle several projects with varying deadlines, data formats, and client expectations. A key challenge is maintaining data accuracy and consistency while working with diverse datasets and tools for each client. Effective communication and clear agreements on deliverables are essential to avoid misunderstandings. Additionally, freelancers must stay organized to manage their workload, prioritize tasks, and ensure timely delivery, all while adapting quickly to new technologies or client-specific requirements.

What is the difference between Freelance Data Processing vs Data Entry Specialist?

AspectFreelance Data ProcessingData Entry Specialist
CredentialsBasic computer skills, sometimes certifications in data managementHigh school diploma, basic computer skills
Work EnvironmentRemote, flexible, project-basedOffice or remote, often in a corporate setting
Employer & Industry UsageFreelance platforms, various industries including finance, healthcareCompanies, data centers, administrative departments

Freelance Data Processing involves handling larger, often complex datasets across multiple projects, with a focus on data analysis and management. Data Entry Specialists typically focus on inputting data accurately into systems, often within a single organization. Both roles require attention to detail but differ in scope, complexity, and work environment.

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Freelance Data Processing jobs near you
Infographic showing various Freelance Data Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Manager, Data Engineering

Publicis Groupe Holdings B.V

Chicago, IL

$88K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency

Job description

Company Description

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.

Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

Overview

The Data Manager of Data Engineering will work in a hands-on and supportive role in our Technology and Data Department. This team processes and maintains all the data that flows into our organization and is the face of the agency regarding data needs from HCP publishers.

You will work with internal and external partners, along with industry vendors, to monitor data transfers, perform data QA'ing and maintain documentation. You will also support the Vice President of Data engineering to enforce enterprise-wide data processes and protocols.

Responsibilities
  • Lead a portfolio of data projects across multiple clients
  • Design and manage scalable pipelines, including ingestion from APIs (REST, GraphQL, vendor feeds) and traditional ETL sources
  • Contribute to data architecture decisions to ensure efficient schema design, scalability, and governance across data warehouses and lakehouses
  • Partner with BI, Product, and Media Tech teams to automate data integrations and improve data flow reliability
  • Oversee ETL and metadata management to ensure stability, security, and compliance
  • Present issues, trends, and recommendations to internal and external stakeholders
  • Maintain best practices for handling, storing, and governing data
Qualifications
  • BS in Computer Science, Information Technology, or related field
  • Strong hands-on experience with PySpark (preferred language for data engineering and automation)
  • Proficiency in Python and SQL for data processing and automation
  • Experience building and maintaining API-based data pipelines, including authentication and error handling
  • Solid knowledge of modern data architecture (data modeling, governance, warehouse, lakehouse)
  • Experience with database structures, ETL, and cloud data platforms
  • Technical documentation skills and ability to communicate complex topics in simple, user-friendly terms

Specific Skills Required:

  • Cloud platforms: AWS, Azure, Databricks
  • Data warehouses/lakehouses: Snowflake, Redshift, Databricks Lakehouse
  • BI tools: Tableau, Datorama (preferred)
  • Strong collaboration skills with cross-functional teams
Additional Information

Our Publicis Groupe motto "Viva La Difference" 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.

#LI-LV1

 Compensation Range: USD $88,540.00 - USD $127,155.00/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. 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 10/1/2026.Employment Type: FULL_TIME

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