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Remote Data Quality Jobs in Miami, FL (NOW HIRING)

Total Performance Consulting

Data Engineer

Florida City, FL · Remote

$105K - $126K/yr

Support data engineering execution across complex application development initiatives, ensuring ... quality, and moving quickly are highly prized. Environment * US-based remote working within PT/ET ...

YO AI Labs

Document Reviewer - Remote

Miami, FL · Remote

$30 - $60/hr

Remote Job Overview We are seeking detail-oriented Document Reviewers to support a project focused on data quality, privacy, and integrity. You will review transformed documents, identify issues ...

iMerit

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Video Data Annotator

Miami, FL · Remote

$35/hr

Familiarity with AI review processes or quality assurance in data annotation projects. * Proactive approach to problem-solving and a self-motivated work style in a remote engagement setting. Company ...

YO AI Labs

Hospitalist Physician - Remote

Miami, FL · Remote

$70 - $100/hr

Remote Job Overview We are seeking experienced Hospitalist Physicians to contribute their medical ... Review medical records, including FHIR data and clinical notes , for AI training and quality ...

YO AI Labs

Data Privacy Analyst - Remote

Miami, FL · Remote

$31 - $60/hr

Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to ... Evaluate data against established privacy and quality standards. * Document discrepancies, findings ...

YO AI Labs

GitHub Contributor - Remote

Miami, FL · Remote

$55 - $160/hr

Contract Location: Remote Scope of Work: * Contribute expert-level code samples, debugging ... data quality. * Review and validate peer-contributed code and technical submissions for accuracy ...

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All JobsData Quality JobsRemote Data Quality JobsRemote Data Quality Jobs in Miami, FL

Remote Data Quality information

See Miami, FL salary details

$15

$39

$68

How much do remote data quality jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote data quality in Miami, FL is $39.63, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $51.97 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

What are popular job titles related to Remote Data Quality jobs in Miami, FL?

For Remote Data Quality jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Remote Data Quality jobs in Miami, FL look for?

The top searched job categories for Remote Data Quality jobs in Miami, FL are:

What cities near Miami, FL are hiring for Remote Data Quality jobs?

Cities near Miami, FL with the most Remote Data Quality job openings:

Remote Data Quality jobs near you
Infographic showing various Remote Data Quality job openings in Miami, FL as of August 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,434 per year, or $39.6 per hour.

Data Engineer

Total Performance Consulting

Florida City, FL • Remote

$105K - $126K/yr

Part-time

Posted 11 days ago

Job description

Responsibilities
  • Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.
  • Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.
  • Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.
  • Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.
  • Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team
  • You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

  • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.
  • Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.
  • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
  • Python, working proficiency for scripting, automation, and data pipeline support.
  • JS, Node.js, and joi experience a plus.
Tools
  • Experience maintaining projects using a distributed version control system such as Git and GitHub.
  • Experience in automated pipeline deployment and schemas into production environments.
  • You should be experienced with agile methods and the concepts behind continuous delivery.
  • We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
  • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.
Education
  • BS in Computer Science and a minimum of five years of experience delivering production solutions
Focus
  • Minimum 5+ years working in Data Science.
  • We expect you to have a passion and experience in shipping and maintaining production software products.
  • You must have strong verbal and written skills.
  • We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.
Environment
  • US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices.
  • We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.

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