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Data Taxonomy Specialist Jobs (NOW HIRING)

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Digital Personalization Specialist

Plano, TX · On-site

Digital Personalization Specialist POSITION OVERVIEW Turn personalization strategy into shipped ... Familiarity with identity/signal governance, event taxonomy, and data-quality practices that power ...

Gunderson LLC

Fund Data Specialist

Boston, MA · Hybrid

$80K - $100K/yr

The Fund Data Specialist is responsible forcollecting, organizing, cleaning, and analyzing large ... Building and maintaining a taxonomy for funds work (e.g., fund vehicles, GPs/managers, LP investors ...

Fastenal Company

Product Data Specialist

Winona, MN · On-site

$42K - $70K/yr

Product Data Specialist - Merchandising 4730 N Service Dr, Winona, MN 55987 HEADP Full-time Shift(s ... taxonomy, digital assets, cross referencing of related items, marketing copy, and product title ...

Waymo

Technical Specialist, ML Data

Mountain View, CA · On-site

As a Technical Specialist in this team, you will be the operational backbone of our machine ... Deep understanding of the ML data lifecycle: labeling, taxonomy design, quality control, and data ...

3001 TC USA Services Inc

$65 - $90/hr

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads ... Develop taxonomy, naming conventions, metadata standards, and document management practices.

Tcenergy

IOTx Data Analyst

Washington, PA · Hybrid

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads ... Develop taxonomy, naming conventions, metadata standards, and document management practices.

TC Energy

IOTx Data Analyst

Thompsons Station, TN · On-site

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads ... Develop taxonomy, naming conventions, metadata standards, and document management practices.

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Data Taxonomy Specialist information

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$72.9K

$88K

How much do data taxonomy specialist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data taxonomy specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a data taxonomy specialist?

A Data Taxonomy Specialist is a professional responsible for designing, implementing, and managing data classification systems within an organization. They create frameworks that organize and categorize data, making it easier to store, retrieve, and analyze information efficiently. Their work ensures data consistency, improves data governance, and facilitates compliance with data regulations. Data Taxonomy Specialists often collaborate with data scientists, data engineers, and business stakeholders to align taxonomy structures with organizational goals.

What are the key skills and qualifications needed to thrive as a data taxonomy specialist?

To thrive as a Data Taxonomy Specialist, you need a solid background in information science, data management, and taxonomy or ontology frameworks, often supported by a degree in library science, information systems, or a related field. Familiarity with metadata standards, data cataloging tools (such as Collibra or Alation), and taxonomy management software is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate across teams and ensure consistent data classification. These skills are vital for organizing complex data assets, improving discoverability, and supporting data governance in organizations.

How does a data taxonomy specialist typically collaborate with data engineers and business analysts within an organization?

A Data Taxonomy Specialist plays a central role in bridging the gap between technical teams and business units. They work closely with data engineers to ensure that data classifications, hierarchies, and naming conventions are consistently implemented across databases and systems. At the same time, they collaborate with business analysts to understand reporting needs and user requirements, helping to design taxonomies that make data easier to locate and interpret. This collaboration ensures both data accuracy and usability, directly supporting data governance and strategic business initiatives.

What is the difference between Data Taxonomy Specialist vs Data Analyst?

AspectData Taxonomy SpecialistData Analyst
Primary FocusDeveloping and managing data classification systems and taxonomiesAnalyzing data to generate insights and reports
Skills & CertificationsKnowledge of data management, taxonomy tools, metadata standardsStatistical analysis, data visualization, SQL, Excel
Work EnvironmentData governance teams, information management departmentsBusiness units, analytics teams, reporting departments
Industry UsageUsed in data management, data governance, and information architectureUsed across industries for decision-making and reporting

The Data Taxonomy Specialist focuses on creating and maintaining data classification systems, ensuring data is organized and accessible. In contrast, a Data Analyst interprets data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

How to become a data taxonomy specialist?

To become a data taxonomy specialist, develop expertise 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 industry standards like Dublin Core or ISO can be beneficial, along with certifications such as Certified Data Management Professional (CDMP).
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Data Taxonomy Specialist jobs near you
Infographic showing various Data Taxonomy Specialist job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Senior Data Integration Specialist II #1733184

Network Designs Inc.

Washington, DC • On-site

$162K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

About NDi:
Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply.
Job Description:
NDi is seeking a Senior Data Warehouse Specialist II to support a federal aviation safety analytics program for the Federal Aviation Administration (FAA). The program supports the Aviation Safety Information Analysis and Sharing (ASIAS) environment, which integrates aviation safety data from multiple government and industry sources to support safety analysis, risk monitoring, and operational decision-making across the National Airspace System. The Senior Data Warehouse Specialist will support the data architecture and analytics platform that powers this environment, including data warehouse maintenance, ETL development, data integration, and analytical data preparation. The role requires strong experience working with complex multi-source datasets and supporting large-scale enterprise data environments.
Requirements:
  • U.S. Citizenship is required
  • Must be able to obtain a Public Trust clearance.
  • This position is remote with occasional meetings in Washington D.C.

Qualifications and Experience:
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or a related technical field.
  • Minimum fifteen (15) years of professional experience in data warehousing, data engineering, or enterprise data analytics environments.
  • Experience developing and maintaining data pipelines within Palantir Foundry, including data transformations, pipeline orchestration, and workflow management.
  • Experience structuring and modeling data within Foundry (e.g., ontology or equivalent semantic/data modeling layers) to support analytical use cases.
  • Experience designing and maintaining ETL/data integration pipelines across multiple source systems.
  • Strong experience with SQL development, relational databases, and data modeling.
  • Experience working with enterprise data warehouse architectures and analytical data environments.
  • Experience supporting data quality, metadata management, and data governance practices.
  • Experience documenting data flows, data mappings, and technical specifications.
  • Strong analytical skills and ability to work with complex datasets.
  • Ability to communicate effectively with both technical and non-technical stakeholders.
  • High attention to detail and commitment to data quality.

Preferred Skills and Qualifications:
  • Experience supporting large federal data or analytics platforms.
  • Experience with data standardization or taxonomy development initiatives.
  • Experience supporting analytical systems used for safety, risk, or operational analytics.
  • Experience working in large multi-source data integration environments.
  • Familiarity with ETL tools, data warehouse performance optimization, and enterprise data architectures.

Responsibilities:
  • Design, develop, and maintain ETL processes supporting integration of multiple aviation safety data sources.
  • Support the maintenance and enhancement of the enterprise data warehouse environment.
  • Develop and maintain data models and analytical datasets supporting safety analytics.
  • Support integration of new data sources into the analytics platform.
  • Maintain data standards, metadata, and documentation for the data warehouse environment.
  • Support data quality validation, transformation logic, and data governance processes.
  • Document system architecture, data flows, and integration processes.
  • Support analysts and technical teams in accessing and using integrated safety datasets.
  • Assist with development of analytical data structures used for safety metrics and reporting.
  • Collaborate with technical teams to improve data accessibility, performance, and reliability of the analytics environment.

Compensation and Benefits:
At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job.
Veterans First Commitment:
As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization.
Our Commitment:
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.
Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!

Apply