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Sparql Jobs (NOW HIRING)

Programmers.io

Ontology Business Consultant

Tampa, FL · On-site

RDF, OWL, SHACL, SPARQL, Stardog (or GraphDB, Blazegraph, Neptune), Protégé, SKOS taxonomies. • Experience: designing ontologies/knowledge graphs, translating business requirements into semantic ...

Kanak Elite Services Inc

Graph Developer

New York, NY · On-site

Develop and optimize efficient graph queries using languages like Cypher, Gremlin, or SPARQL. * Data integration: Build and maintain data pipelines to load, transform, and integrate data from various ...

Sonsoft Inc

Java Developer with Dydra

Phoenix, AZ

$50.75 - $65.50/hr

Java/J2EE (Mandatory), Dydra, SparQL, RDF, Eptos. - * Adept in SDLC * Good communication and coordination skills * Able to work closely with the clients, elicit requirements, seek clarification

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How much do sparql jobs pay per hour?

As of May 29, 2026, the average hourly pay for sparql in the United States is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $34.62 per hour, depending on experience, location, and employer.

What is a SPARQL job?

A SPARQL job typically involves working with SPARQL, a query language used to retrieve and manipulate data stored in RDF (Resource Description Framework) format. Professionals in this role often work with semantic web technologies, knowledge graphs, and linked data. They may develop queries to extract insights, integrate data from various sources, and optimize database performance. Common roles include data engineers, semantic web developers, and ontology specialists.

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

To thrive in a SPARQL Developer role, you need a solid understanding of semantic web technologies, RDF data modeling, and advanced SPARQL query design, typically supported by a degree in Computer Science or a related field. Experience with triplestore databases such as Apache Jena, Virtuoso, or Stardog, and proficiency in programming languages like Python or JavaScript are commonly required. Strong analytical thinking, attention to detail, and effective collaboration skills are crucial in this position. These competencies ensure efficient extraction of insights from complex linked data, facilitate integration tasks, and support business-driven data initiatives.

What are some common challenges faced by SPARQL Developers, and how can they overcome them?

SPARQL Developers often encounter challenges when working with large, interconnected datasets or optimizing complex queries for triplestore performance. Navigating the nuances of schema design, integrating disparate data sources, and ensuring precise query results are part of the day-to-day work. Collaborating closely with data architects and subject matter experts helps address ambiguity and clarify project requirements. Staying up to date with advances in semantic technologies and routinely profiling queries can also lead to more efficient solutions and better overall project outcomes.
More about Sparql jobs
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Sparql jobs near you
Infographic showing various Sparql job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 1% Part Time, and 15% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $62,702 per year, or $30.1 per hour.

Ontology Business Consultant (Hands-on exp. RDF, OWL, SHACL)

Talent Search PRO

Tampa, FL

$72/hr

Contractor

Posted 26 days ago

Job description

Ontology Business Consultant
• Titles: Ontologist, Ontology Engineer, Semantic Data Modeler, Knowledge Graph Engineer, Semantic Modeler Lead, Ontology Consultant.
• Tech stack: RDF, OWL, SHACL, SPARQL, Stardog (or GraphDB, Blazegraph, Neptune), Protégé, SKOS taxonomies.
• Experience: designing ontologies/knowledge graphs, translating business requirements into semantic models, integrating multiple source systems, defining validation rules and constraints.
• Stardog and SPARQL (preferred)
• Ontology versioning and change management
• Ensuring the model can be efficiently consumed by dashboards (Power BI), APIs, web UIs, and audit exports
Job Description
We are seeking an experienced Ontologist to design and evolve a privacy-focused semantic model that captures key concepts| relationships| and constraints.
The ideal candidate will translate complex business and regulatory requirements into a practical ontology that supports actionable competency questions for privacy| compliance| and audit purposes.
Key Responsibilities
We're looking for an otologist who can
Design and evolve a privacy-focused semantic model (key concepts| relationships| constraints) Translate business and regulatory requirements into a practical ontology that supports real competency questions
Define data quality and validation rules aligned to audit and compliance needs
Design semantic ingestion patterns and map various data source systems
Partner closely with product| engineering| and data teams to ensure the model is performant| queryable| and fit for delivery From a tooling and delivery perspective| this includes experience with
Stardog and SPARQL (preferred) - Ontology versioning and change management
Ensuring the model can be efficiently consumed by dashboards (Power BI)| APIs| web UIs| and audit exports
Desirable Skills:
Digital: Machine Learning AI & Gen AI - Products & Tools~Cognos Data Integration
Experience Required: 10 & Above