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Metadata Jobs in Kansas (NOW HIRING)

... metadata, consistent definitions, curated semantic layers, and documentation • Experience with Agentic development and workflows Company : Based in Wichita, Kansas, Koch is one of the largest ...

Maintain quality data management, electronic file organization, and data integrity, including metadata. Requirements: * Associate's degree in GIS or similar with coursework in GIS, CAD drafting ...

Maintain quality data management, electronic file organization, and data integrity, including metadata. Requirements: * Associate's degree in GIS or similar with coursework in GIS, CAD drafting ...

Maintain quality data management, electronic file organization, and data integrity, including metadata. Requirements: * Associate's degree in GIS or similar with coursework in GIS, CAD drafting ...

Maintain quality data management, electronic file organization, and data integrity, including metadata. Requirements: * Associate's degree in GIS or similar with coursework in GIS, CAD drafting ...

Maintain quality data management, electronic file organization, and data integrity, including metadata. Requirements: * Associate's degree in GIS or similar with coursework in GIS, CAD drafting ...

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata, warehousing, lakes, and BI. * Support early analytics, BI, and data science use cases. * Guide teams on ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata, warehousing, lakes, and BI. * Support early analytics, BI, and data science use cases. * Guide teams on ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata, warehousing, lakes, and BI. * Support early analytics, BI, and data science use cases. * Guide teams on ...

Experience with large-scale document processing, OCR, email threading, deduplication, metadata extraction, productions, or review workflows. * Experience deploying AI, machine learning, or LLM-based ...

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Metadata information

See Kansas salary details

$7

$14

$25

How much do metadata jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for metadata in Kansas is $14.03, according to ZipRecruiter salary data. Most workers in this role earn between $10.48 and $15.67 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 Kansas? The most popular types of Metadata jobs in Kansas are:
What job categories do people searching Metadata jobs in Kansas look for? The top searched job categories for Metadata jobs in Kansas are:
Analytics Engineer

Analytics Engineer

Koch

Wichita, KS • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Koch Engineered Solutions (KES) is currently looking for an Analytics Engineer to join their global Information Technology team. In this role, you will design and deliver high-quality semantic models and BI solutions that drive decision-making across KES, collaborating with various teams to transform raw data into trusted analytics assets.
Responsibilities:
• Partner with analysts and business stakeholders to understand data gaps, define metrics, and design robust, scalable analytics solutions
• Design and build dimensional models that are clean, performant, and easy to use
• Develop and optimize SQL transformations to convert data into business friendly and reusable dimensional model objects
• Create and maintain Power BI semantic models that enable clear and efficient self service analytics
• Develop enterprise Power BI reports and dashboards with a focus on usability, performance, and consistent business definitions
• Implement and follow professional development practices: Git based version control, branching/PR workflows, testing/validation, CI/CD, etc.
• Collaborate with data engineers, architects, and other analytics engineers to align on standards for naming, documentation, data quality, and model governance
• Support adoption by documenting models and metrics, enabling stakeholder training, and improving discoverability
• Troubleshoot data issues with data models and reports and continuously improve reliability and performance
Qualifications:
Required:
• 3+ years in analytics engineering, BI development, or a similar role with significant data modeling responsibilities
• Bachelor’s degree in a quantitative, analytical, or engineering field (e.g., Data Science, Computer Science, Information Systems, Engineering, Mathematics) or equivalent practical experience delivering analytics outcomes
• Strong SQL skills for data transformation
• Demonstrated experience building dimensional data models for BI applications
• Hands on experience with Power BI semantic model and report development
• Experience with Power Query (M) and understanding of when/how to use it effectively
• Experience using Git in a team environment (branches, PRs, code reviews)
• Strong communication skills and comfort working directly with stakeholders
Preferred:
• Deep knowledge of dimensional modeling best practices and optimization techniques
• Experience with dbt (models, tests, documentation, macros, exposures)
• Experience using Snowflake for data transformation, including developing SQL based pipelines and reusable model layers
• Experience with Microsoft Fabric for data engineering and BI development
• Familiarity with Azure DevOps (Repos, Pipelines, Boards) and Agile SDLC practices
• Experience designing reusable semantic standards for enterprise reporting
• Exposure to data quality and observability practices
• Experience enabling AI capable models through strong metadata, consistent definitions, curated semantic layers, and documentation
• Experience with Agentic development and workflows
Company:
Based in Wichita, Kansas, Koch is one of the largest private companies in America. Founded in 1940, the company is headquartered in Wichita, USA, with a team of 10001+ employees. The company is currently Late Stage.