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Metadata Library Jobs in Fredericksburg, VA (NOW HIRING)

Collaborate with Intelligence Community (IC) Agencies and Open Source Libraries to identify and ... HG Schemas/Templates/Metadata; Quality Assurance/Quality Control (QA/QC) Criteria and Process; HG ...

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How much do metadata library jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for metadata library in Fredericksburg, VA is $18.37, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $20.82 per hour, depending on experience, location, and employer.

What is a metadata librarian?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What skills and qualifications are needed to thrive as a metadata librarian?

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.

What are common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are popular job titles related to Metadata Library jobs in Fredericksburg, VA?

For Metadata Library jobs in Fredericksburg, VA, the most frequently searched job titles are:

What job categories do people searching Metadata Library jobs in Fredericksburg, VA look for?

The top searched job categories for Metadata Library jobs in Fredericksburg, VA are:

What cities near Fredericksburg, VA are hiring for Metadata Library jobs?

Cities near Fredericksburg, VA with the most Metadata Library job openings:

Infographic showing various Metadata Library job openings in Fredericksburg, VA as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $38,213 per year, or $18.4 per hour.

Lead Data Scientist/Data Analyst

Kalman & Company, Inc.

Stafford, VA • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Kalman & Company is seeking a highly motivated, performance-driven individual with strong data analysis experience to work closely with our Department of Defense (DoD) client in the Northern VA area. The role involves leading data analytics efforts, developing business intelligence solutions, and collaborating with stakeholders to provide data-driven insights for impactful decision-making.
Responsibilities:
• Architect, design, code, and implement next-generation data analytics using best practices in the latest technologies.
• Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components.
• Develop solutions in a highly collaborative and agile environment.
• Lead efforts in collecting, normalizing, and analyzing complex data.
• Work directly with stakeholders to understand their needs and requirements and apply these to the build/test phase of reports and dashboards.
• Identify opportunities to streamline reporting to make processes more automated and less manual.
• Develop and manage business intelligence solutions for the organization.
• Utilize data visualization tools like Power BI to deliver solutions sourcing a variety of data.
• Build data visualizations including dashboards and reports.
• Document data profiling and quality assurance results, data dictionaries and analytical findings.
• Use data to create predictive models and trend analysis.
• Collaborate with colleagues for the purpose of collecting and structuring data.
• Collect, audit, compile, and validate data from multiple sources.
• Interpret data, analyze results using statistical techniques or relational databases and produce ongoing as-needed reports to meet client and/or business needs.
• Communicate and work with diverse organizations and representatives for data collection, analysis, and results presentation.
• Provide thought leadership clearly demonstrating an understanding of the customer mission and innovative ideas to address business challenges of the customer.
• Work autonomously and as part of a team to meet organizational and project goals.
• Lead in the preparation of briefing materials and other communications packages presenting the results of analysis.
• Support on-site delivery in the Quantico and Stafford areas.
Qualifications:
Required:
• US Citizenship is required.
• Active Secret Security Clearance or ability to obtain a Secret Security Clearance.
• Proficiency in Microsoft Excel and experience working with large data sets.
• Advanced Microsoft Power BI skills, to include demonstrated development of models and data architectures using DAX and Power Query editor.
• Excellent data gathering and analytical skills.
• Excellent oral and written communication skills.
• Have a strong understanding of DoD systems and processes.
• Ability to lead detail-oriented tasks and multi-task under minimal supervision.
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering or related field
• 5+ years of experience supporting solutions implemented in DoD.
• Experience in statistical modeling.
• Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL.
• Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.
Preferred:
• Experience with cloud computing/storage, data lakes/warehouses.
• Experience with Spark and ML applications.
• Experience with Scala, Java
• Experience with Robotic Process Automation (RPA) (e.g., UiPath)
• Experience with Natural Language Processing (NLP)
• Experience in Databricks
Company:
Kalman & Company, Inc. (Kalman), headquartered in Virginia Beach, VA, was founded by Barbara and Walter Kalman in 1986. Founded in 1987, the company is headquartered in Virginia Beach, USA, with a team of 201-500 employees. The company is currently Growth Stage.