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Metadata Jobs in Indiana (NOW HIRING)

Old National Bank

Credit Data Steward

Evansville, IN · On-site

$121K/yr

Define and maintain business metadata, data definitions, business rules, and data quality standards. * Establish ownership and accountability for critical credit data elements. * Lead governance ...

campus4tech

Application Programmer

Indianapolis, IN · On-site

Tune and prepare video files (transcoding/metadata/quality checks) before upload to the new environment to ensure compatibility, performance, and accessibility. * Organize and catalog media for ...

Deckers

Ensure consistent data definitions, lineage, and metadata documentation across domains by enabling cataloging and lineage platforms * Maintain a central repository of architecture artifacts ...

Old National Bank

Credit Data Steward

Evansville, IN · On-site

$121K/yr

Define and maintain business metadata, data definitions, business rules, and data quality standards. * Establish ownership and accountability for critical credit data elements. * Lead governance ...

Amatriot Group, LLC

Data Scientist

Crane, IN

$80K - $95K/yr

Define metadata requirements and schemas to support the complex labeling of military motion imagery and live video streams. * Develop metadata tools, automated scripts, and models to support ...

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How much do metadata jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for metadata in Indiana is $14.97, according to ZipRecruiter salary data. Most workers in this role earn between $11.20 and $16.68 per hour, depending on experience, location, and employer.

What is a metadata specialist?

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 the key skills and qualifications needed to thrive as a metadata specialist?

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 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 does a metadata assistant do?

A metadata assistant supports the management and organization of digital information by creating, editing, and maintaining metadata records. They often use tools like content management systems and follow standards such as Dublin Core or MARC to ensure data is accurately described and easily retrievable. Attention to detail and familiarity with data standards are important for this role.

What is a metadata job?

A metadata job involves managing, organizing, and maintaining metadata, which is data that describes other data, to improve data accessibility and usability. Roles often require knowledge of data management tools, standards, and sometimes programming skills to ensure accurate data classification and retrieval.

What are the most commonly searched types of Metadata jobs in Indiana?

The most popular types of Metadata jobs in Indiana are:

What are popular job titles related to Metadata jobs in Indiana?

For Metadata jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Metadata jobs in Indiana look for?

The top searched job categories for Metadata jobs in Indiana are:

Metadata jobs near you
Infographic showing various Metadata job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $31,146 per year, or $15 per hour.

Metadata Catalog Specialist - Indianapolis - Hybrid

Indianapolis, IN • On-site

aFit Staffing Inc.
See more jobs at aFit Staffing Inc.external

Full-time

Re-posted 14 days ago

Job description

aFit Staffing is seeking a Metadata Catalog Specialist to execute the hands-on work of building out a client's data catalog: scanning source systems, tagging and classifying datasets, curating catalog entries, and producing dataset-level documentation. This role is the primary point of execution for turning an enterprise metadata model and cataloging standards into a populated, usable catalog, and works directly with business or agency stewards during onboarding. 

KEY RESPONSIBILITIES 

Metadata Scanning, Tagging & Catalog Curation 

  • Execute metadata scanning and classification of datasets as systems are onboarded by wave. 
  • Tag and curate catalog entries in accordance with the enterprise metadata model and cataloging standards. 
  • Produce dataset-level documentation for cataloged and inventoried datasets.
  • Administer the data catalog platform, including user access, workflow configuration, and connector/scanner setup. 

Taxonomy, Glossary & Discoverability 

  • Contribute to and maintain business glossary terms, taxonomies, and classification hierarchies. 
  • Improve dataset discoverability through consistent tagging, descriptions, and search optimization within the catalog.
  • Perform periodic quality checks on metadata completeness and accuracy across the catalog. 

Onboarding & Standardization 

  • Assist with catalog standardization and implementation during onboarding waves. 
  • Support business units or agencies in applying consistent metadata, naming, and classification conventions. 
  • Contribute to source and dataset inventories as part of catalog build-out. 

Stewardship Enablement & Training 

  • Build and maintain reusable templates, checklists, and job aids for data stewards. 
  • Apply privacy/sensitivity classification to catalog entries and associated access-control tagging. 
  • Train and support end users and data stewards on catalog tool usage and metadata standards. 
  • Capture lessons learned and recurring patterns from onboarding to improve future catalog builds. 

Documentation & Reporting Support

  • Maintain catalog onboarding and lineage rollout summaries for status reporting.
  • Support project managers and architects with backlog items related to scanning, classification, and catalog readiness. 
  • Store documentation and catalog artifacts in client-owned repositories as directed. 

REQUIRED CERTIFICATIONS : A relevant data catalog or governance platform certification (e.g., Microsoft Applied Skills / Purview data governance credential, Informatica certification), or equivalent demonstrated hands-on catalog experience in lieu of certification. 

PREFERRED QUALIFICATIONS 

  • 3+ years of experience in metadata management, data cataloging, or data stewardship execution roles. 
  • Hands-on experience scanning, classifying, and tagging datasets within a data catalog or governance platform. 
  • Experience developing or maintaining taxonomies, ontologies, or business glossaries. 
  • Direct experience with Microsoft Purview catalog scanning and classification. 
  • Experience working directly with business or agency stakeholders during data onboarding, including end-user training. 
  • Familiarity with privacy/sensitivity classification frameworks. 
  • Familiarity with Informatica or Databricks metadata capabilities.