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Ontology Remote Jobs in Raleigh, NC (NOW HIRING)

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. * Provide retrieval-ready context (RAG pipelines, vector stores, knowledge ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. * Provide retrieval-ready context (RAG pipelines, vector stores, knowledge ...

All JobsOntology JobsOntology Remote JobsOntology Remote Jobs in Raleigh, NC

Ontology Remote information

See Raleigh, NC salary details

$74.8K

$109.6K

$118.6K

How much do ontology remote jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ontology remote in Raleigh, NC is $109,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $117,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Ontology Remote, and why are they important?

To thrive as an Ontology Remote Specialist, you need a solid background in data modeling, knowledge representation, and semantic technologies, often supported by a degree in computer science, information science, or a related field. Familiarity with tools and standards like OWL, RDF, SPARQL, and ontology development platforms such as Protégé is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate remotely and translate complex concepts for diverse teams. These skills are vital to ensure precise data integration, interoperability, and successful remote teamwork in knowledge-driven organizations.

How does working remotely as an Ontology Specialist impact collaboration and communication with team members?

As a remote Ontology Specialist, you will frequently collaborate with cross-functional teams, such as data engineers, software developers, and subject matter experts, often using digital communication tools like Slack, Zoom, and project management platforms. Clear and proactive communication is essential, as you may work across different time zones and need to document your work thoroughly to ensure alignment. Regular check-ins, virtual meetings, and shared documentation help maintain effective teamwork and ensure that ontology models are developed and integrated smoothly. Adapting to asynchronous communication and being responsive to feedback are common challenges, but they also foster independence and strong organizational skills.

What are ontology remote jobs?

Ontology remote jobs involve working with the design, development, and management of ontologies—structured frameworks for organizing information—while operating from a location outside of a traditional office setting. Professionals in these roles may create data models, standardize vocabularies, and ensure data consistency across systems, often supporting projects in fields like knowledge management, artificial intelligence, healthcare, or libraries. Remote ontology specialists typically collaborate with teams through digital communication tools and may work for tech companies, research organizations, or consulting firms. These positions require strong analytical skills and a background in information science, computer science, or related areas.

What is the difference between Ontology Remote vs Data Analyst?

AspectOntology RemoteData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of ontology modelingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with cross-disciplinary teamsRemote or on-site, working with data sets and reporting tools
Industry UsageUsed in AI, semantic web, and knowledge management projectsUsed across finance, healthcare, marketing, and more for data insights

Ontology Remote professionals focus on developing and managing ontologies for AI and knowledge systems, requiring specialized understanding of semantic structures. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles may work remotely and require analytical skills, Ontology Remote emphasizes semantic modeling, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Ontology Remote jobs in Raleigh, NC? For Ontology Remote jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ontology Remote jobs in Raleigh, NC look for? The top searched job categories for Ontology Remote jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ontology Remote jobs? Cities near Raleigh, NC with the most Ontology Remote job openings:
Ontology Remote jobs near you
Infographic showing various Ontology Remote job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $109,561 per year, or $52.7 per hour.

Manager, Data Engineer (Remote)

Archgroup

Raleigh, NC • Remote

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.

You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.

Responsibilities

  • Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities anddeliverdata-related goals.

  • Design clear, analytics-ready data structures byanticipatingdownstream analytical needs.

  • Evaluate and adoptnew technologiesand data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery whilemaintainingappropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills

Data Engineering

  • Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Sparkproficiency(PySparkpreferred) and experience with distributed data processing, including building scalable pipelines andoptimizingperformance for large-scale datasets

  • Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness

  • Insurance data modelingforanalytics and actuarial-ready data structures

  • MLOpsfamiliarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership &Operating Model

  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills

  • 6+years' experienceofhands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience

  • Hands-on Databricks experience highly preferred

Education

  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$100,500 - $174,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC

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