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Data Taxonomy Jobs in Washington (NOW HIRING)

JST

Contracts Data Analyst

Washington, DC · On-site

Collaborate with the JST PM Lead to identify data requirements, structure incoming contracting data, and establish best practices for data taxonomy, storage, and workflow automation. * Platform ...

JST

Contracts Data Analyst

Washington, DC · On-site

Collaborate with the JST PM Lead to identify data requirements, structure incoming contracting data, and establish best practices for data taxonomy, storage, and workflow automation.Platform ...

Data Intelligence LLC

Senior Data Architect

Mclean, VA · On-site

$68 - $91/hr

Qualifications: * 10+ years of experience in data architecture, semantic modeling, ontology/taxonomy design, and data governance. * Demonstrated ability to work independently, mentor others, and ...

Data Intelligence LLC

Senior Data Architect

Mclean, VA · On-site

$140 - $190/hr

Qualifications: * 10+ years of experience in data architecture, semantic modeling, ontology/taxonomy design, and data governance. * Demonstrated ability to work independently, mentor others, and ...

Data Intelligence LLC

Senior Data Architect

Mclean, VA

$68 - $91/hr

Qualifications: * 10+ years of experience in data architecture, semantic modeling, ontology/taxonomy design, and data governance. * Demonstrated ability to work independently, mentor others, and ...

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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 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 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.

How to become a data taxonomist?

To become a data taxonomist, develop skills in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and understanding domain-specific knowledge is essential, along with familiarity with data governance and relevant software such as Protégé or Excel.

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What skills are needed for data taxonomy?

Data taxonomy professionals need strong analytical skills to categorize and organize data effectively, along with knowledge of data management principles and metadata standards. Familiarity with data modeling tools, taxonomy development, and understanding of business context are also important. Proficiency in tools like Excel, SQL, or specialized taxonomy software can enhance performance.

What are popular job titles related to Data Taxonomy jobs in Washington?

For Data Taxonomy jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Taxonomy jobs in Washington look for?

The top searched job categories for Data Taxonomy jobs in Washington are:

What cities in Washington are hiring for Data Taxonomy jobs?

Cities in Washington with the most Data Taxonomy job openings:

Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Sr. Instructional Developer

Govcio LLC

Fort George G Meade, MD • On-site

$110K - $120K/yr

Full-time

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

GovCIO rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

109th of 225 rated it services

Job description

Overview:

GovCIO is currently hiring for an Instructional Developer to design and develop training materials for personnel . This position will be located in Fort Meade, MD and will be an onsite position.

Responsibilities:

The Instructional Systems Developer (ISD) designs and develops training materials that prepare USCYBERCOMMAND personnel to (1) operationally use the Horizon3.ai Node Zero autonomous pen testing platform and (2) create and curate the training datasets required to enable future AI-powered cyber tools. Working closely with the Data Scientist and technical leads, the ISD converts complex platform workflows, data strategy constructs, and dataset preparation standards into role-based curriculum, hands-on labs, job aids, and assessment instruments. The ISD ensures training content reinforces standardized data taxonomy, labeling/metadata requirements, and quality controls so that data produced during IOC and follow-on implementation is consistent, reusable, and suitable for future AI training and validation.

  • Co-develop role-based curriculum with the Data Scientist for Node Zero employment and AI training set development
  • Produce training products (lesson plans, slide decks, labs, exercises, job aids, quick-reference guides)
  • Translate the program’s data strategy into teachable standards (taxonomy, labeling, metadata, quality checks)
  • Develop practical exercises that walk learners through ingest → interpret outputs → label/contextualize → package training sets
  • Create knowledge checks and evaluation methods to verify proficiency / consistency
  • Update materials as platform workflows and data standards mature into the May implementation phase
Qualifications:

High School with 9+ years (or commensurate experience)

Required Skills and Experience

  • Clearance Required: TS/SCI CI Poly
  • 9+ years of experience developing technical training for cyber, data, or analytics systems (DoD/IC preferred)
  • Demonstrated ability to build hands-on labs and performance-based assessments
  • Familiarity with data concepts relevant to AI training (datasets, labeling, metadata, bias/quality considerations)
  • Strong collaboration skills with data scientists, engineers, and operators


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Posted Salary Range: USD $110,000.00 - USD $120,000.00 /Yr.

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