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Data Taxonomy Jobs in Virginia (NOW HIRING)

Experience with metadata management, taxonomy development, and enterprise data catalogs. * Experience using SQL Server, SharePoint, Microsoft Access, Microsoft Power Platform, or similar technologies.

Data Architect

Springfield, VA · On-site

$125K - $145K/yr

Experience with metadata management, taxonomy development, and enterprise data catalogs. * Experience using SQL Server, SharePoint, Microsoft Access, Microsoft Power Platform, or similar technologies.

Data & Geospatial Standards Specialist

Springfield, VA · On-site

$59K - $72K/yr

... taxonomy, metadata schema, information standards, and authoritative/trusted data (ATD) sources. • Ensure compliance with the Federal Data Strategy and the Geospatial Data Act (GDA) of 2018 ...

AI Data Analyst

Lynchburg, VA · On-site

$85K - $116K/yr

Develop metadata, taxonomy, chunking, and indexing strategies for AI-ready datasets * Work with engineering and AI teams to improve data quality and retrieval effectiveness * Build and maintain ...

Item Management Assistant

Richmond, VA · On-site

$41K - $48K/yr

Researches and validates item attributes, taxonomy categories, and required fields to ensure data completeness and consistent nomenclature. * Maps items across internal entities and coordinates ...

Item Management Assistant

Richmond, VA · On-site

$41K - $48K/yr

Researchesandvalidatesitem attributes, taxonomy categories, and required fields to ensure data completeness and consistent nomenclature. * Maps items across internal entities and coordinates ...

Responsibilities : • Develop automated data pipelines for technology integration initiatives • Create automation workflows for malware sample collection, detonation, and taxonomy • Implement ...

Create automation workflows for malware sample collection, detonation, and taxonomy * Implement data integration automation between pilot and production systems * Support Automated Malware Analysis ...

Data Automation Engineer

Arlington, VA · On-site

$99K - $206K/yr

Responsibilities: - Develop automated data pipelines for technology integration initiatives - Create automation workflows for malware sample collection, detonation, and taxonomy - Implement data ...

Responsibilities: - Develop automated data pipelines for technology integration initiatives - Create automation workflows for malware sample collection, detonation, and taxonomy - Implement data ...

Data Automation Engineer

Arlington, VA · On-site

$77K - $163K/yr

Responsibilities: - Develop automated data pipelines for technology integration initiatives - Create automation workflows for malware sample collection, detonation, and taxonomy - Implement data ...

Responsibilities: - Develop automated data pipelines for technology integration initiatives - Create automation workflows for malware sample collection, detonation, and taxonomy - Implement data ...

Responsibilities: - Develop automated data pipelines for technology integration initiatives - Create automation workflows for malware sample collection, detonation, and taxonomy - Implement data ...

Responsibilities: -Develop automated data pipelines for technology integration initiatives -Create automation workflows for malware sample collection, detonation, and taxonomy -Implement data ...

Showing results 21-40

Data Taxonomy information

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

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

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.
What are popular job titles related to Data Taxonomy jobs in Virginia? For Data Taxonomy jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Data Taxonomy jobs? Cities in Virginia with the most Data Taxonomy job openings:
Infographic showing various Data Taxonomy job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data & Geospatial Standards Specialist

Akima

Springfield, VA • On-site

$130K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Akima rating

6.8

Company rating: 6.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

377th of 446 rated engineering


Job description

Suvi is seeking a Data & Geospatial Standards Specialist for the TSA Enterprise Architecture Support Team in Springfield, VA. Ideal candidates demonstrate strong customer service, subject matter expertise, mission dedication, and a solid work ethic. To join our team of outstanding professionals, apply today!
The Data & Geospatial Standards Specialist leads the information and data architecture efforts and establishes enterprise-wide data and geospatial standards under the EASS contract. Reporting to the Lead Architect and Program Lead while directly supporting the Architecture & Data Management Branch (ADMB), this role is responsible for creating, maintaining, and enforcing conceptual and logical data models, the TSA Enterprise Lexicon, taxonomy, metadata schema, and authoritative data sources. The specialist ensures compliance with the Federal Data Strategy and the Geospatial Data Act (GDA) of 2018, advances data management maturity through the Intelligent Information Management Framework (IIMF) and supports the adoption of data mesh principles to enable scalable AI/ML initiatives. This position plays a critical role in making TSA's Enterprise Architecture data-driven, ensuring high-quality, findable, and interoperable data that directly supports TSA's mission to protect the nation's transportation systems.
Responsibilities

  • Create, maintain, and guide conceptual and logical data models at the enterprise, portfolio, and solution levels across key TSA domains (aviation security, biometrics, data mesh, geospatial, cloud, mobile).
  • Develop and enforce the TSA Enterprise Lexicon, data dictionaries, taxonomy, metadata schema, information standards, and authoritative/trusted data (ATD) sources.
  • Ensure compliance with the Federal Data Strategy and the Geospatial Data Act (GDA) of 2018, including data strategies, standards, and integration plans.
  • Enhance TSA's information and data management maturity through the Intelligent Information Management Framework (IIMF) and associated performance tracking and reporting.
  • Support the adoption of data mesh principles (domain-oriented ownership, data as a product, self-serve infrastructure, and federated governance).
  • Explore and apply emerging technologies for data challenges, including semantic technologies, machine learning, artificial intelligence, entity extraction, and automated taxonomy generation.
  • Develop use cases, conduct AI/ML pilots, document pilot scope/results, and create implementation roadmaps for successful automation initiatives.
  • Provide current EA data information to decision-makers, reconcile data across systems, maintain critical documentation (e.g., data asset catalog), and support all data calls and governance processes.
  • Collaborate with stakeholders across TSA and DHS to integrate data architecture with performance, business, application, and security domains.
Qualifications
  • U.S. Citizenship.
  • Ability to obtain a Public Trust clearance.
  • Bachelor's degree in data management, Information Systems, Geospatial Science, Computer Science, or related field.
  • 8+ years of progressive experience in data architecture, data standards, or information management, with at least 4 years in enterprise-level data governance or geospatial standards.
  • Strong working knowledge of the Federal Data Strategy, Geospatial Data Act (GDA), data mesh principles, and data modeling best practices.
  • Demonstrated experience maintaining enterprise lexicons, taxonomies, metadata schemas, and authoritative data sources.
  • Excellent analytical, technical writing, and stakeholder collaboration skills.
Preferred Skills:
  • Master's degree.
  • Experience supporting TSA, DHS, or other federal agencies with data architecture and geospatial compliance.
  • Hands-on experience with ServiceNow CSDM, Ins-Pi/YouDesign, or other EA/repository tools.
  • Knowledge of AI/ML data applications, semantic technologies, and enterprise data warehouse/analytics.
  • Certifications such as CDMP (Certified Data Management Professional), TOGAF, DAMA, or GIS Professional (GISP).
  • Familiarity with TSA-specific data domains (aviation security, biometrics, screening systems).

Job ID
2026-23004
Work Type
On-Site
Pay Range
$130,000.00 - $135,000.00
Benefits
Regular - The company offers a comprehensive benefits program, including medical, dental, vision, life insurance, 401(k) and a range of other voluntary benefits. Paid Time Off (PTO) is offered to regular full-time and part-time employees.
Company Description
Work Where it Matters
Suvi, an Akima company, is not just another federal mission services contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.
At Suvi, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.
For our shareholders, Suvi provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.
For our government customers, Suvi delivers subject matter experts, an agile management approach, and innovative technologies that accomplish customers' missions safely, securely, and efficiently.
As a Suvi employee, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.

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About Akima

Sourced by ZipRecruiter

As an Alaska Native Corporation headquartered in Herndon, Virginia, Akima is dedicated to delivering superior outcomes for our customers’ missions while simultaneously creating a long-lived asset for our Iñupiat shareholders. Akima maintains a portfolio of small businesses, 8(a) companies, and operating companies that deliver simplified and accelerated access to the products and services agencies need to ensure mission success.

Industry

Specialty trade contractors

Company size

5,001 - 10,000 Employees

Headquarters location

Herndon, VA, US

Year founded

1995

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