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Remote Data Taxonomist Jobs (NOW HIRING)

$95K - $96K/yr

This role leads CRO, SEO, and experimentation initiatives, using data-driven insights to ... Own on-site SEO strategy, including taxonomy, categorization, and internal linking. * Ensure SEO ...

Remote in USA Strategic Process Architect The Strategic Process Architect designs and optimizes end ... Define and standardize process taxonomy, hierarchies, and naming conventions to create consistency ...

Manager-Digital Pro Operations

Mooresville, NC ยท Remote

$101K - $168K/yr

Innovate Remotely This position is fully remote, allowing you to enjoy the flexibility of working f ... Develop insights and data-driven recommendations that improve how Pro customers discover and ...

Support data hygiene, dropdown functionality, and taxonomy within Excel sheets. JOB QUALIFICATIONS ... Remote #LI-DO1

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Remote Data Taxonomist information

How does a Remote Data Taxonomist typically collaborate with other teams while working remotely?

As a Remote Data Taxonomist, you will frequently collaborate with data engineers, product managers, and domain experts through virtual meetings and shared digital platforms. Communication is key, as you'll need to clarify taxonomy requirements, resolve ambiguities in data classification, and ensure alignment across departments. Regular check-ins and documentation tools like shared spreadsheets or project management software help maintain transparency and consistency. Being proactive in reaching out and providing clear updates is essential to succeed in this remote, cross-functional role.

What is the difference between Remote Data Taxonomist vs Remote Data Analyst?

AspectRemote Data TaxonomistRemote Data Analyst
Primary FocusOrganizing and classifying data through taxonomiesAnalyzing data to identify trends and insights
Skills & CertificationsKnowledge of taxonomy development, metadata standards, data management certificationsStatistical analysis, data visualization, proficiency in SQL and Excel
Work EnvironmentCollaborates with data management teams, often in data governance projectsWorks with business teams to interpret data and generate reports
Industry UsageCommon in data management, information architecture, and content organizationWidespread across finance, marketing, healthcare, and tech sectors

The Remote Data Taxonomist specializes in creating and maintaining data classification systems, ensuring data is organized for easy retrieval. In contrast, the Remote Data Analyst focuses on interpreting data to support decision-making. Both roles require strong analytical skills, but their core responsibilities and focus areas differ significantly.

What is a Remote Data Taxonomist?

A Remote Data Taxonomist is a professional who works from a remote location to organize, classify, and structure data for easier access and analysis. They develop taxonomies, which are hierarchical systems for categorizing information, and ensure data consistency across systems. Their work is crucial for improving searchability, supporting data-driven decisions, and making large datasets more manageable. Remote Data Taxonomists often collaborate with data scientists, engineers, and content teams to maintain accurate and up-to-date data classifications.

What are the key skills and qualifications needed to thrive as a Remote Data Taxonomist, and why are they important?

To thrive as a Remote Data Taxonomist, you need expertise in information architecture, data classification, and metadata management, often supported by a degree in library science, information management, or a related field. Familiarity with taxonomy management tools (like PoolParty or Smartlogic), content management systems, and data standards is typically required. Strong analytical thinking, attention to detail, and effective remote communication are essential soft skills for this role. These competencies are crucial for ensuring consistent data organization, discoverability, and seamless collaboration across distributed teams.
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Senior Data Integration Specialist II #1733184

Senior Data Integration Specialist II #1733184

Network Designs

Washington, DC โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 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!