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Metadata Jobs in Florida (NOW HIRING)

Prescient Edge

Knowledge Manager

Doral, FL · On-site

Must be proficient in metadata management frameworks, knowledge graph integration, and structured data cataloging to ensure research findings are accessible and aligned with DoD and Intelligence ...

Prescient Edge

Full-Stack Data Engineer

Doral, FL · On-site

Shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with a Data Catalog. * Shall develop automated metadata tagging ...

Programmers.io

Data Governance Product Owner

Tampa, FL · On-site

The ideal candidate has deep experience in data governance frameworks, metadata and lineage tooling, data quality management, regulatory compliance, and cross-functional stakeholder alignment. Key ...

SOSi

Data Governance

Miami, FL

The contractor shall oversee metadata management, data lineage tracking, and regulatory compliance for all datasets stored within the Data Lake environment. * The contractor shall integrate Unity ...

SOSi

Data Governance Specialist-WO-004

Doral, FL

The contractor shall oversee metadata management, data lineage tracking, and regulatory compliance for all datasets stored within the Data Lake environment. * The contractor shall integrate Unity ...

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All JobsMetadata JobsMetadata Jobs in Florida

Metadata information

See Florida salary details

$6

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$21

How much do metadata jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for metadata in Florida is $11.76, according to ZipRecruiter salary data. Most workers in this role earn between $8.80 and $13.12 per hour, depending on experience, location, and employer.

What is the difference between Metadata vs Data Analyst?

AspectMetadataData Analyst
Required CredentialsKnowledge of data management, basic understanding of databasesBachelor's degree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness, finance, marketing teams
Employer & Industry UsageUsed across industries for data catalogingUsed in analytics, reporting, decision-making
Common Search & ComparisonUnderstanding data structureAnalyzing data for insights

Metadata involves managing data about data, such as descriptions and structure, while a Data Analyst interprets data to provide insights. Both roles are essential in data management but serve different functions within organizations.

What are metadata specialists?

Metadata specialists are professionals responsible for creating, managing, and maintaining metadata, which is data that describes and provides information about other data. They work to ensure that digital assets, documents, or datasets are accurately categorized, searchable, and retrievable by assigning standardized descriptions and tags. Metadata specialists often work in libraries, archives, museums, or organizations with large digital collections, and play a key role in data governance and information management.

What are 5 examples of metadata?

Metadata for a Metadata professional refers to data that describes other data, such as file size, creation date, author, file format, and keywords. These examples help organize, find, and manage digital information efficiently. Understanding and managing metadata is essential in data management, digital archiving, and information retrieval tasks.

What are the key skills and qualifications needed to thrive as a Metadata Specialist, and why are they important?

To thrive as a Metadata Specialist, you need strong organizational skills, attention to detail, and knowledge of metadata standards and cataloging principles, often supported by a degree in library science, information science, or a related field. Familiarity with cataloging tools, metadata management systems, and standards like Dublin Core or MARC is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills ensure accurate data organization and retrieval, which are critical for maintaining data integrity and supporting information discovery.

What are some typical challenges faced by metadata specialists when managing large datasets, and how can they be addressed?

Metadata specialists often encounter challenges such as inconsistent data standards, incomplete metadata entries, and integrating metadata from multiple sources. These issues can make it difficult to ensure data discoverability and usability. Addressing them typically involves establishing clear metadata standards, using automated tools for validation, and collaborating closely with data owners and IT teams to maintain consistency. Regular training and documentation updates also help in keeping metadata practices aligned across the organization.
What are the most commonly searched types of Metadata jobs in Florida? The most popular types of Metadata jobs in Florida are:
What are popular job titles related to Metadata jobs in Florida? For Metadata jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Metadata jobs in Florida look for? The top searched job categories for Metadata jobs in Florida are:
What cities in Florida are hiring for Metadata jobs? Cities in Florida with the most Metadata job openings:
Metadata jobs near you
Infographic showing various Metadata job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $24,460 per year, or $11.8 per hour.
Information Technology_USA - USA_Consultant

Information Technology_USA - USA_Consultant

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 6 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CANDIDATEBEELINEID
i.e. PTN_US_9999999_SKIPJOHNSON0413
/hr
MSP Owner: Felix Avalos
Location: ~Rosemead, CA~
Duration: 6 months
skill id: 10739162
PI Subject Matter Expert
The PI Subject Matter Expert (SME) will lead and support the design, build, migration, and stabilization of AVEVA PI environments as part of a multi-year enterprise historian modernization program. The role spans eDNA to PI migration, WAMS/EMS/CRAS PI environment build-outs, metadata modelling, interface migrations, historical data loads, testing, production cutover, and post-go-live support across QA, PDS, and Production environments.
• Perform eDNA to PI gap analysis, covering functionality, metadata, event files, and reporting.
• Define PI environment preparation strategy for Grid systems.
• Author detailed specifications for metadata updates, event file management, and extraction approaches.
• Support preparation and validation of eDNA data extracts.
• Drive stakeholder reviews and mutual sign off of analysis outputs.
• Lead event file migrations from CRAS and WAMS into PI.
• Execute and validate historical data loads.
• Build and validate AF/DA metadata models aligned to Grid operations.
• Design, build, and migrate interfaces, including DGA and DeltaX.
• Support Grid QA, PDS, and Production cutovers.
• Assist with system validation, performance tuning, and data reconciliation.
• Participate in cutover planning, execution, and stabilization.
• Provide SME support during finalization, turnover, and handover activities
• Support training and change management activities for PI users and operations teams.
• Contribute to metadata standards and governance.
• Develop and review technical documentation.
• Provide user support and knowledge transfer post go live.
• Drive final documentation and mutual sign off.
Technical Skills
• 10+ years of experience with AVEVA PI System (PI DA, AF, Vision).
• Strong expertise in historian migrations (eDNA → PI preferred).
• Hands on experience with WAMS, EMS, CRAS, or Grid systems.
• Experience with event files, historical data loads, and large scale PI systems.
• Strong understanding of PI interfaces, AF modelling, and metadata design.
• Proven ability to support enterprise testing, SAT cycles, and production cutovers.
• Excellent documentation and stakeholder communication skills., Project Code :

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