Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures. * Familiarity with cloud data stacks (AWS, GCP, Azure), Apache Kafka, dbt, Databricks, or Snowflake. Data ...
Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures. * Familiarity with cloud data stacks (AWS, GCP, Azure), Apache Kafka, dbt, Databricks, or Snowflake. Data ...
Senior Knowledge Graph Developer
Chicago, IL · On-site
$124K - $161K/yr
Deep proficiency in at least one graph query language (Cypher, SPARQL, or Gremlin). * Semantic Modeling: Strong understanding of RDF, OWL, RDFS, SKOS, and linked data principles. * Programming:
Senior Knowledge Graph Developer
Chicago, IL · On-site
$124K - $161K/yr
Deep proficiency in at least one graph query language (Cypher, SPARQL, or Gremlin). * Semantic Modeling: Strong understanding of RDF, OWL, RDFS, SKOS, and linked data principles. * Programming:
You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team ...
You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team ...
GraphQL, SPARQL, SHACL, SQL). • Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and ...
GraphQL, SPARQL, SHACL, SQL). • Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and ...
Ontologist - Sr with Security Clearance
Miami, FL · On-site
$109K - $149K/yr
Candidates should have demonstrated expertise in ontology design, semantic data modeling, and SPARQL query development, with proficiency in W3C standards (RDF, OWL, SHACL) and supporting frameworks ...
Ontologist - Sr with Security Clearance
Miami, FL · On-site
$109K - $149K/yr
Candidates should have demonstrated expertise in ontology design, semantic data modeling, and SPARQL query development, with proficiency in W3C standards (RDF, OWL, SHACL) and supporting frameworks ...
Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases:
Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases:
Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases:
Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases:
Knowledge Engineer / Semantic Expert for AI
Milwaukee, WI · On-site
$96K - $131K/yr
We Are: Accenture is helping companies use generative AI and semantic layer to reinvent their ... RDF, SPARQL, LPG, SHACL) * Minimum of 2 years of experience with schema design, ontology management ...
Knowledge Engineer / Semantic Expert for AI
Milwaukee, WI · On-site
$96K - $131K/yr
We Are: Accenture is helping companies use generative AI and semantic layer to reinvent their ... RDF, SPARQL, LPG, SHACL) * Minimum of 2 years of experience with schema design, ontology management ...
Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures. * Familiarity with cloud data stacks (AWS, GCP, Azure), Apache Kafka, dbt, Databricks, or Snowflake. Data ...
Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures. * Familiarity with cloud data stacks (AWS, GCP, Azure), Apache Kafka, dbt, Databricks, or Snowflake. Data ...
Ontologist
$117K - $140K/yr
OR a minimum of 11+ years of experience in ontology development, semantic technologies. * Possess the knowledge and capability to develop ontologies: * Proficiency in writing advanced SPARQL queries.
Ontologist
$117K - $140K/yr
OR a minimum of 11+ years of experience in ontology development, semantic technologies. * Possess the knowledge and capability to develop ontologies: * Proficiency in writing advanced SPARQL queries.
Expert Analytic Methodologist (OBI) - OBIQUA
Reston, VA · On-site
$53 - $69/hr
GraphQL, SPARQL, SHACL, SQL). • Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and ...
Expert Analytic Methodologist (OBI) - OBIQUA
Reston, VA · On-site
$53 - $69/hr
GraphQL, SPARQL, SHACL, SQL). • Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and ...
Senior Analytic Methodologist (OBI) - OBIQUA with Security Clearance
Reston, VA · On-site
$110K - $150K/yr
GraphQL, SPARQL, SHACL, SQL). • Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and ...
Senior Analytic Methodologist (OBI) - OBIQUA with Security Clearance
Reston, VA · On-site
$110K - $150K/yr
GraphQL, SPARQL, SHACL, SQL). • Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and ...
Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases:
Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases:
Expert Analytic Methodologist (OBI) - OBIQUA with Security Clearance
Reston, VA · On-site
$53.25 - $69/hr
GraphQL, SPARQL, SHACL, SQL). • Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and ...
Expert Analytic Methodologist (OBI) - OBIQUA with Security Clearance
Reston, VA · On-site
$53.25 - $69/hr
GraphQL, SPARQL, SHACL, SQL). • Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and ...
Knowledge Engineer / Semantic Expert for AI
Mountain View, CA · On-site
$114K - $156K/yr
We Are: Accenture is helping companies use generative AI and semantic layer to reinvent their ... RDF, SPARQL, LPG, SHACL) * Minimum of 2 years of experience with schema design, ontology management ...
Knowledge Engineer / Semantic Expert for AI
Mountain View, CA · On-site
$114K - $156K/yr
We Are: Accenture is helping companies use generative AI and semantic layer to reinvent their ... RDF, SPARQL, LPG, SHACL) * Minimum of 2 years of experience with schema design, ontology management ...
Ontology Ontology engineering Knowledge modeling OWL RDF SPARQL SHACL JSONLD Ontological inference ... Entity resolution Entity resolution Semantic modeling technologies: Protg TopBraid Composer ...
Ontology Ontology engineering Knowledge modeling OWL RDF SPARQL SHACL JSONLD Ontological inference ... Entity resolution Entity resolution Semantic modeling technologies: Protg TopBraid Composer ...
You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team ...
You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team ...
Ontology Engineer-Knowledge Graph & Identity
San Francisco, CA · On-site +1
$150K - $180K/yr
You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team ...
Quick apply
Ontology Engineer-Knowledge Graph & Identity
San Francisco, CA · On-site +1
$150K - $180K/yr
You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team ...
Neo4j, Amazon Neptune, Stardog, GraphDB, Virtuoso, Ontotext, TigerGraph. • Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures. • Familiarity with cloud ...
Neo4j, Amazon Neptune, Stardog, GraphDB, Virtuoso, Ontotext, TigerGraph. • Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures. • Familiarity with cloud ...
Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases:
Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases:
Sparql Semantic information
See salary details
$120.5K - $126.6K
10% of jobs
$126.6K - $132.7K
2% of jobs
$132.7K - $138.8K
3% of jobs
$138.8K - $144.9K
4% of jobs
$144.9K - $151K
5% of jobs
$151.5K is the 25th percentile. Wages below this are outliers.
$151K - $157K
6% of jobs
$157K - $163.1K
11% of jobs
The median wage is $166.6K / yr.
$163.1K - $169.2K
15% of jobs
$174.8K is the 75th percentile. Wages above this are outliers.
$169.2K - $175.3K
20% of jobs
$175.3K - $181.4K
14% of jobs
$181.4K - $187.5K
10% of jobs
$120.5K
$162.4K
$187.5K
How much do sparql semantic jobs pay per year?
What are the key skills and qualifications needed to thrive as a sparql semantic developer, and why are they important?
What is the difference between Sparql Semantic vs Data Analyst?
| Aspect | Sparql Semantic | Data Analyst |
|---|---|---|
| Required Credentials | Knowledge of SPARQL, semantic web technologies, RDF, ontologies | Degree in statistics, data science, or related field; proficiency in SQL and data visualization tools |
| Work Environment | Semantic web projects, knowledge graphs, linked data environments | Business intelligence, data reporting, analytics teams |
| Employer & Industry Usage | Research institutions, semantic web companies, data integration projects | Corporations, marketing firms, finance, healthcare |
| Common Search & Comparison | Understanding semantic data querying | Analyzing and interpreting data for decision-making |
While Sparql Semantic specialists focus on querying and managing semantic web data using SPARQL, Data Analysts interpret and analyze data to support business decisions. Both roles require data literacy but differ in technical skills and work environments.
What are the common challenges faced by professionals working with SPARQL and semantic web technologies?
What is a sparql semantic job?
What cities are hiring for Sparql Semantic jobs?
Cities with the most Sparql Semantic job openings:
What states have the most Sparql Semantic jobs?
States with the most job openings for Sparql Semantic jobs include:
What job categories do people searching Sparql Semantic jobs look for?
The top searched job categories for Sparql Semantic jobs are:

Honeywell rating
8.3
Based on 186 frontline employees who took The Breakroom Quiz
67th of 539 rated manufacturers
Job description
We are looking for a Senior Ontologist to lead the design, development, and operationalization of buildings ontologies and taxonomies that power data interoperability, analytics, and intelligent systems across connected buildings products.
This role is hands-on and strategic. You will work at the intersection of domain modeling, semantic technologies, and standards, shaping how complex data is represented, connected, and consumed at scale.
You will collaborate closely with domain experts, data engineers, platform architects, and product teams to ensure that semantic models are accurate, extensible, and aligned with industry standards and real-world operational needs.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.Required Qualifications
Core Expertise
- Deep, hands-on experience in ontology engineering and taxonomy design for industrial or building domains.
- Strong working knowledge of Brick Schema, Project Haystack, and IFC (not just theoretical familiarity).
- Proven experience building real-world, production-grade semantic models.
- Understanding of Large Language model along with structured knowledge of graphs for semantic backbone creation
Technical Skills
- Expert-level proficiency in OWL 2, RDF, RDFS, SPARQL, SHACL, SKOS, JSON-LD, and Turtle.Semantic Web Stack:
- Deep expertise in at least two of: Neo4j, Amazon Neptune, Stardog, GraphDB, Virtuoso, Ontotext, TigerGraph.Graph Databases:
- Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures.
- Familiarity with cloud data stacks (AWS, GCP, Azure), Apache Kafka, dbt, Databricks, or Snowflake.Data Platforms:
- Experience with OWL reasoners (Pellet, HermiT, FaCT++) and rule-based systems (SWRL, RIF).Reasoning Engines:
- Familiarity with knowledge graph platforms like Palantir Foundry, Microsoft Fabric, or Google Enterprise Knowledge Graph.
- Ability to collaborate effectively with software and data engineers.
- Understanding of how industrial systems generate, structure, and consume data.
- Experience with digital twins, asset modeling and systems engineering.
- Experience designing ontology governance frameworks on a scale.
- Ability to evaluate and integrate open vs proprietary semantic models.
- Prior experience in a platform, product, or enterprise-scale environment.
- Experience working in a fast-paced technology environment focused on delivering a world class product within an agile methodology utilizing latest technology frameworks
Key Responsibilities
Ontology & Semantic Model Development
- Design, build, and maintain industrial ontologies, taxonomies, and knowledge models covering assets, spaces, processes, and operational data.
- Develop and extend models aligned with industry standards such as:
- Brick Schema
- Project Haystack
- ASHRAE 233P
- IFC (Industry Foundation Classes)
- Related building, utilities, energy, or asset-management ontologies
- Define clear concept hierarchies, relationships, constraints, and naming conventions.
- Conduct ontology alignment and integration with external knowledge bases and domain-specific ontologies.
Standards & Interoperability
- Map, align, and reconcile concepts across multiple industry schemas and customer-specific models.
- Design semantic alignment strategies between heterogeneous data sources (BMS, IoT, SCADA, CMMS, ERP, digital twins).
- Ensure models support interoperability, extensibility, and backward compatibility.
- Leverage large language models (e.g., GPT-4, Claude, LLaMA, Mistral) and NLP pipelines to automate ontology population, entity extraction, and relation classification
Applied Semantics & Engineering Collaboration
- Work closely with data engineering and platform teams to:
- Operationalize ontologies in production systems
- Support semantic querying, reasoning, and metadata-driven pipelines
- Define best practices for ontology versioning, governance, and lifecycle management.
- Translate abstract semantic models into practical, implementable artifacts.
Architecture Leadership & Strategy
- Define the long-term technical vision and roadmap for the enterprise semantic and knowledge graph platform.
- Establish architectural standards, design patterns, and reference architectures for semantic data integration across business units.
- Partner with data engineering, ML, product, and business teams to translate domain requirements into graph and semantic models.
- Evaluate and recommend emerging technologies, tools, and open standards in the knowledge graph and AI/LLM landscape.
- Represent the organization in external technical communities, standards bodies, and industry working groups.
What Honeywell employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Honeywell
Sourced by ZipRecruiter
Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.
Industry
Furniture manufacturing
Company size
10,000+ Employees
Headquarters location
Charlotte, NC, US
Year founded
1906