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How much do ontologist jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for ontologist in the United States is $77.89, according to ZipRecruiter salary data. Most workers in this role earn between $77.88 and $77.88 per hour, depending on experience, location, and employer.

What jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior consultants, surgeons, or experienced software engineers, especially in consulting firms, healthcare, or technology sectors. These positions typically require advanced skills, certifications, or extensive experience, and may involve freelance or contract work with high hourly rates. Such roles are usually found in industries with high demand for expertise and often require a strong professional reputation.

What are the typical daily responsibilities of an Ontologist in a corporate environment?

As an Ontologist, your daily tasks often involve collaborating with data engineers, subject matter experts, and software developers to design, implement, and refine ontologies that help structure complex data. You’ll spend time modeling relationships between data entities, maintaining and updating knowledge graphs, and ensuring consistency across information systems. Regular meetings and documentation are key parts of the workflow, as they help align ontological frameworks with business goals and user needs. The work environment is generally collaborative and project-driven, offering a mix of independent research and teamwork opportunities.

What are the key skills and qualifications needed to thrive in the Ontologist position, and why are they important?

To thrive as an Ontologist, you need a solid background in information science, knowledge representation, and formal logic, typically supported by a degree in computer science, information systems, or a related field. Experience with semantic web technologies (such as RDF, OWL, and SPARQL), ontology management tools (like Protégé), and sometimes certification in data modeling or knowledge engineering is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills make an ontologist stand out. These competencies are critical for designing and maintaining data structures that improve organizational understanding, interoperability, and searchability of information.

How to become an Ontologist?

To become an ontologist, typically a candidate needs a bachelor's degree in computer science, philosophy, or a related field, followed by specialized training or a master's degree in knowledge representation, semantic web, or ontology engineering. Gaining experience with ontology development tools like Protégé and understanding of formal logic and data modeling are also important. Certifications in semantic technologies can enhance job prospects in this field.

What does an Ontologist do?

An Ontologist designs and manages structured frameworks for organizing information, such as taxonomies, ontologies, and metadata schemas. They work to ensure data is meaningfully categorized and interconnected, improving search, retrieval, and interoperability across systems. Ontologists often collaborate with data scientists, engineers, and subject matter experts to develop semantic models that enhance AI, machine learning, and knowledge management applications.

What job makes $10,000 a month without a degree?

An ontologist typically does not earn $10,000 a month without a degree, as the role often requires specialized knowledge in knowledge representation and domain expertise. However, some high-paying freelance or consulting roles in data management, AI, or knowledge engineering can reach that income level with experience and skills, often without formal degrees but with strong technical proficiency and certifications. These roles usually involve working with semantic technologies, ontologies, or AI tools in a flexible schedule environment.

What is the job description of an Ontologist?

An Ontologist develops and maintains formal representations of knowledge within a specific domain, creating ontologies that define concepts, relationships, and rules. They often use tools like Protégé and require skills in logic, semantic modeling, and data integration to ensure accurate and consistent data organization.
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4103 Data Engineer (Modeling) with Security Clearance

4103 Data Engineer (Modeling) with Security Clearance

Procession Systems

Newington, VA • On-site

$127K - $152K/yr

Other

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


Job description

OVERVIEW: We are seeking an experienced Modeling Data Engineer to join an exciting work program. The successful candidate will be responsible for the development, design, and adaptation of proprietary data formats that capture real world entities in realistic, transportable, and explanatory data models. Additional responsibilities include developing changes to the model to support continually evolving system and information requirements. These models must be able to support current and future enterprise applications system design, by capturing and communicating with all relevant systems the changes to the data model at consistent, and regular intervals consistent with the software development life cycle of the enterprise applications. The candidate will also be required to interface directly with data architects and software developers to ensure that the data model is able to capture the use cases that the software systems are responsible for. REQUIRED QUALIFICATIONS: * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field of study
  • Experience creating and managing data models, ETL development and data warehousing
  • Software languages and software system development experience (Python and JavaScript)
  • Familiarity and experience with search query languages (SQL, No-SQL)
  • Knowledge of common data storage formats (JSON, XML, CSV)
  • Familiarity with the software development cycle
  • Extensive experience building unit tests
  • Ability to work independently and as part of a team
DESIRED QUALIFICATIONS: * Digital forensic domain background.
  • Normalizing data accounting for multiple organizational and operational concerns.
  • Experience working with an ontologist.
  • Experience handling complex and conflicting customer requirements.
  • Knowledge of data governance and data quality frameworks.
CLEARANCE: * Top-Secret clearance and the ability to obtain SCI access with a CI polygraph.

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About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

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