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Data Taxonomy Jobs in Virginia (NOW HIRING)

AgileEngine

Taxonomy Analyst

Richmond, VA · On-site

Job Title Taxonomy Analyst Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank

PenFed Credit Union

Enterprise Data Steward

Mclean, VA · Hybrid

$84K - $193K/yr

Overview PenFed is hiring a (Hybrid) Enterprise Data Steward at our Tysons, Virginia or San Antonio, Texas location. The primary purpose of this job is to drive adoption of PenFed's Enterprise Data

Capital One

Manager, Ontology & Data Modeling

Mclean, VA · On-site

$55.25 - $71.75/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The

Capital One

Manager, Ontology & Data Modeling

Richmond, VA · On-site

$54.25 - $70.25/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The

Capital One

Manager, Ontology & Data Modeling

Mclean, VA · On-site

$55.25 - $71.75/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The

NETALYSIS LLC

Be Seen First

Data Scientist

Arlington, VA · On-site

$100K - $135K/yr

MUST HAVE AN ACTIVE SECRET CLEARANCE WORK LOCATION - 100% ONSITE - ARLINGTON, VA We offer competitive BENEFITS in the areas of: Medical, Dental, Vision, 401K, Short Term Disability, Long Term

NETALYSIS LLC

Be Seen First

Data Scientist

Arlington, VA · On-site

$100K - $135K/yr

MUST HAVE AN ACTIVE SECRET CLEARANCE WORK LOCATION - 100% ONSITE - ARLINGTON, VA We offer competitive BENEFITS in the areas of: Medical, Dental, Vision, 401K, Short Term Disability, Long Term

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Data Taxonomy information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Data Science Director, or Chief Data Officer, which typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can command salaries exceeding $150,000 annually, depending on the industry and location.

How to get a job in taxonomy?

To get a job in taxonomy, develop expertise in data organization, classification, and metadata standards such as Dublin Core or schema.org. Gaining skills in data management tools, understanding industry-specific vocabularies, and obtaining relevant certifications can improve employability. Experience with data analysis and information architecture is also valuable for roles in taxonomy development and management.

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 data taxonomy?

Data taxonomy is a structured classification system that organizes data into categories and subcategories, making it easier to manage, search, and analyze. Data professionals often use standards and tools like metadata and ontologies to develop effective taxonomies for data governance and integration.

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 do you need to be a data taxonomy specialist?

A data taxonomy specialist typically needs a strong understanding of data management, classification, and metadata standards, along with skills in data modeling and taxonomy development. Proficiency in tools like Excel, SQL, or specialized taxonomy software is often required, and relevant certifications in data management or information architecture can be beneficial. Experience with data governance and collaboration with cross-functional teams also supports success in this role.

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 job categories do people searching Data Taxonomy jobs in Virginia look for? The top searched job categories for Data Taxonomy jobs in Virginia are:
What cities in Virginia are hiring for Data Taxonomy jobs? Cities in Virginia with the most Data Taxonomy job openings:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Taxonomy Analyst

Taxonomy Analyst

AgileEngine

Richmond, VA • On-site

Other

This job post has expired 5 days ago. Applications are no longer accepted.

Job description

Job Title

Taxonomy Analyst

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! We are looking for a Taxonomy Analyst with native-level English fluency to review, annotate, and classify large-scale job and resume datasets according to strict taxonomy guidelines for an HR tech platform serving global English-speaking markets. You will standardize job titles, map occupations, validate metadata, and perform data cleanup across high-volume datasets while adapting content for regional relevance across diverse English markets. The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points.

What You Will Do

  • Review, annotate, and classify large-scale datasets (job descriptions, resumes, and skill profiles) according to strict taxonomy guidelines;
  • Support daily operations by standardizing job titles, mapping occupations, validating metadata, and continuously improving overall taxonomy quality;
  • Perform data cleanup and validation to identify patterns, resolve inconsistencies, and ensure accurate, standardized outputs;
  • Adapt and validate multilingual and localized content to ensure regional relevance across diverse English markets;
  • Strictly follow established labeling guidelines while exercising sound, independent judgment on ambiguous data points.

Must Haves

  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • Native-level fluency in English;
  • 3+ years of proven experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation;
  • Strong analytical skills, exceptional attention to detail, and sharp pattern recognition abilities;
  • Proven experience reviewing, processing, and navigating high-volume datasets.

Nice To Haves

  • Market knowledge or familiarity with the professional landscapes of Ireland, India, the United Arab Emirates, Australia, or Singapore;
  • Domain knowledge in HR tech, recruitment, or job taxonomy (occupational mapping, labor market structures);
  • Proficiency with Excel / Google Sheets or basic SQL queries;
  • Hands-on experience working with LLMs / AI tools (e.g., ChatGPT, Gemini, Claude) for data curation or evaluation.

Perks And Benefits

  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.

Apply