ZipRecruiter

Log In

1

Metadata Jobs in Texas (NOW HIRING)

GDH

Metadata Analyst

Richardson, TX · Remote

$65 - $72.78/hr

Role Summary The Metadata/Data Quality Analyst is a mid-level position responsible for ensuring the accuracy, completeness, and consistency of metadata across enterprise data assets. Working within ...

Genesis10

Application Programmer

Plano, TX · On-site

Genesis10 is currently seeking a Senior Engineer - Unified Metadata Store for a contract position with Bank of America - USDC. The role involves leading the development and delivery of a Unified ...

Glow Networks

Data / Information Architect

Dallas, TX · On-site

$60 - $77/hr

You will lead efforts to integrate metadata management systems, champion best practices, and drive cross-functional alignment to support our data infrastructure. This position requires a strategic ...

AXG Contracting

Be Seen First

Document Control Specialist

Houston, TX · On-site

$36 - $45/hr

Accountable for engineering taxonomy, engineering specific quality acceptance criteria, metadata/numbering standards, and final upload/publishing of engineering deliverables (including baseline flags ...

next page

Showing results 1-20

All JobsMetadata JobsMetadata Jobs in Texas

Metadata information

See Texas salary details

$7

$14

$27

How much do metadata jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for metadata in Texas is $14.66, according to ZipRecruiter salary data. Most workers in this role earn between $10.96 and $16.35 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 Texas? The most popular types of Metadata jobs in Texas are:
What are popular job titles related to Metadata jobs in Texas? For Metadata jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Metadata jobs in Texas look for? The top searched job categories for Metadata jobs in Texas are:
What cities in Texas are hiring for Metadata jobs? Cities in Texas with the most Metadata job openings:
Metadata jobs near you
Infographic showing various Metadata job openings in Texas as of May 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $30,495 per year, or $14.7 per hour.
Metadata Analyst

Metadata Analyst

GDH

Richardson, TX • Remote

$65 - $72.78/hr

Other

Posted 19 days ago

Job description

Role Summary
The Metadata/Data Quality Analyst is a mid-level position responsible for ensuring the accuracy, completeness, and consistency of metadata across enterprise data assets. Working within the Enterprise Data Governance team, this role supports data transparency, regulatory compliance, and analytics initiatives by effectively capturing, curating, and maintaining metadata. The analyst collaborates with data owners, engineers, and business partners to promote data discoverability, understanding, and governance throughout the data lifecycle.

Responsibilities

  • Capture, document, and maintain business, technical, and operational metadata for enterprise data assets including datasets, reports, pipelines, and data products.
  • Populate and curate the enterprise data catalog to enhance data discoverability, understanding, and reuse.
  • Partner with data owners and stewards to define business terms, data definitions, lineage, and usage context.
  • Support the development and upkeep of the enterprise business glossary and metadata standards.
  • Document data lineage, data flows, and transformations across various systems and platforms.
  • Collaborate with data governance, data quality, architecture, and engineering teams to embed metadata into data delivery processes.
  • Assist in classifying data, applying sensitivity tags, and ensuring compliance with regulatory, privacy, and risk requirements.
  • Monitor the completeness and quality of metadata, identifying gaps and driving remediation efforts.
  • Contribute to the continuous improvement of metadata management processes, templates, and tooling adoption.
  • Provide guidance to data consumers on how to locate, interpret, and utilize governed data assets effectively.

Qualifications

  • 2–5+ years of experience in data governance, metadata management, data analysis, or related fields.
  • Hands-on experience with data catalog tools or metadata repositories such as Collibra, Alation, DataHub, OpenMetadata, OvalEdge, or similar.
  • Familiarity with data concepts including data lineage, data quality, data modeling, and data lifecycle management.
  • Proven ability to work with both technical teams (data engineering, architecture) and business stakeholders.
  • Strong analytical, documentation, and attention to detail skills.
  • Understanding of data regulatory, risk, and compliance considerations (preferred).
  • Excellent communication skills with the ability to translate technical data concepts into business-friendly language.
  • Bachelor''s degree in Information Systems, Computer Science, Data Analytics, Business, or related field; equivalent practical experience considered.
  • Relevant certifications in data management or governance (e.g., DAMA CDMP, Collibra, Alation) are a plus but not mandatory.

Publishing Pay Range: $65.00 - $72.78 hourly

This is a fully remote role and can be performed from an approved location.

Apply