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Freelance Data Cleansing Jobs (NOW HIRING)

... a freelance Senior Data Operations Specialist. The Data Operations Specialist will be responsible for the technical execution of data integrations, pipeline creation, and data cleansing, ensuring ...

New

... freelance Senior Martech Solutions Architect. This position focuses on the backend management of data, including setting up integrations, creating robust data pipelines, and meticulously cleansing or ...

New

Insurance Analyst (Remote)

$20.50 - $28/hr

Supporting data gathering, cleansing, and preparation for upload into Riskonnect (policies, claims, exposure schedules) * Assisting with data migration, validation, and reconciliation against source ...

Insurance Analyst (remote)

$20.50 - $28/hr

Supporting data gathering, cleansing, and preparation for upload into Riskonnect (policies, claims, exposure schedules) * Assisting with data migration, validation, and reconciliation against source ...

Freelance Data Cleansing information

See salary details

$14

$47

$132

How much do freelance data cleansing jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for freelance data cleansing 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 are the most commonly searched types of Data Cleansing jobs? The most popular types of Data Cleansing jobs are:

Senior Data Operations Specialist

Aquent

Baltimore, MD • On-site, Remote

$65 - $85/hr

Temporary

Posted 2 days ago

New


Job description

Placement Type:
Temporary
Salary:
$65-85 Hourly
Start Date:
Aug 10, 2026
Our agency client is looking for a freelance Senior Data Operations Specialist. The Data Operations Specialist will be responsible for the technical execution of data integrations, pipeline creation, and data cleansing, ensuring high-quality, accessible data for internal strategy teams. This position is vital for maintaining data integrity and providing a reliable data infrastructure, allowing the company's internal teams to deliver accurate insights and recommendations to clients without needing to focus on campaign performance analysis themselves.
This is a remote, adhoc role approx 10-20 hours per week for 2+ months.
Responsibilities:
  • Set up and connect data integrations from various sources (e.g., Google Ads, LinkedIn, GA4).
  • Create and manage data pipelines to ensure efficient data flow.
  • Cleanse and manipulate raw data to normalize and standardize it for analysis.
  • Push processed data into storage environments such as Google Sheets, Microsoft Excel, BigQuery, or Microsoft Azure.
  • Collaborate with internal data and strategy teams to understand data requirements.
  • Ensure data quality and accessibility for internal analysis.
  • Assist with setting up triggers, events, and tags in platforms like Google Tag Manager.

Technical Skills:
  • Advanced SQL and Python (Pandas, API integration, ETL development)
  • Experience consuming REST APIs, including OAuth authentication, pagination, and JSON parsing
  • Experience building automated data pipelines using Python, Azure Functions, GitHub Actions, or cloud automation tools
  • Familiarity with CRM, marketing, and analytics platform APIs (Salesforce, HubSpot, Google Ads, Meta, LinkedIn, GA4, etc.)
  • Experience connecting data sources to BI platforms (Power BI, Tableau, Looker)
  • Git version control and collaborative development practices
  • Bonus: JavaScript/TypeScript, dbt, Airflow/Prefect, GraphQL
  • Bonus++: Clay, Demandbase

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