ZipRecruiter

Log In

1

Sparql Jobs (NOW HIRING)

CELESTAR

Lead Ontologist - OBIQUA

Reston, VA · On-site

... OWL, SPARQL) and government data standards to enable semantic representation of data inputs, facilitating integration and interoperability across intelligence systems. • Design, develop, and ...

Evolutyz Corp

Principal Data Architect

Houston, TX · On-site

Mastery of semantic web standards, including RDF, OWL, and SHACL, and proficiency in SPARQL for context-aware graph reasoning. • Policy-as-Code Compliance: Production-grade deployment experience ...

Nalley Consulting

Ontologist - Sr

Miami, FL · On-site

$117K - $154K/yr

Proficiency in writing advanced SPARQL queries * Strong skills in the W3C Web Ontology Language (OWL) * Solid understanding of Basic Formal Ontology (BFO) and Common Core Ontologies (CCO)

Nalley Consulting

Ontologist - Sr

Doral, FL · On-site

$117K - $154K/yr

Proficiency in writing advanced SPARQL queries * Strong skills in the W3C Web Ontology Language (OWL) * Solid understanding of Basic Formal Ontology (BFO) and Common Core Ontologies (CCO)

Genesis10

Ontology Specialist - 100% Remote

... SPARQL; iterate on representation patterns • Codify tacit business knowledge into formal structures, in partnership with domain experts • Explain trade-offs between modeling approaches and ...

next page

Showing results 1-20

All JobsSparql Jobs

Sparql information

See salary details

$18

$30

$44

How much do sparql jobs pay per hour?

As of Jun 26, 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.

Is SPARQL a programming language?

SPARQL is a query language used to retrieve and manipulate data stored in Resource Description Framework (RDF) format. It is not a general-purpose programming language but is essential for data analysts and developers working with semantic web technologies and linked data. Knowledge of query syntax and data modeling is important for SPARQL-related roles.

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.

What is SPARQL used for?

SPARQL is a query language used by data professionals, including those in roles like data analysts and semantic web developers, to retrieve and manipulate data stored in RDF (Resource Description Framework) format. It enables querying complex linked data and knowledge graphs, facilitating data integration and semantic data analysis.

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.

How is SPARQL different from SQL?

SPARQL is a query language used to retrieve and manipulate data stored in RDF format, often used in semantic web and linked data environments. SQL is a language designed for managing and querying structured data in relational databases. As a SPARQL developer, understanding the differences helps in selecting the right tool for data integration and knowledge graph projects.

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

A SPARQL developer or data engineer can potentially earn $10,000 or more per month by working with semantic web technologies, querying large datasets, and managing data integration projects. Success in this field depends on strong technical skills, experience, and often self-education or certifications, as formal degrees are not always required. High-paying roles are typically found in tech companies, data-driven organizations, or consulting firms.
More about Sparql jobs
What are the most commonly searched types of Sparql jobs? The most popular types of Sparql jobs are:
What states have the most Sparql jobs? States with the most job openings for Sparql jobs include:
What job categories do people searching Sparql jobs look for? The top searched job categories for Sparql jobs are:
Sparql jobs near you
Infographic showing various Sparql job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 81% In-person, 2% Hybrid, and 17% Remote job distribution, with an average salary of $62,702 per year, or $30.1 per hour.
Mendix/Avaya Principal Data Architect/Application Developer

Mendix/Avaya Principal Data Architect/Application Developer

TMS

Houston, TX • On-site

Contractor

Posted 14 days ago

Job description

Role: Mendix/Avaya Principal Data Architect/Application Developer
Location: Houston, TX (Hybrid) (1 week onsite every month. Look for Local to TX or Nearby state candidates)
Duration: 12+ Months
Experience Needed: 15+ Years
 
Position Overview:
We are looking for a forward thinking 10+ Years Data Architect, who is visionary to pioneer the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric. In this high-impact mandate, you will dismantle traditional, rigid ETL pathways and help implement an intelligent "nervous system" framework where operational metadata is continuously active, enterprise data governance is completely computational, and multi-party data virtualization relies on zero-copy architectures.
 
Mandatory Technical:
•     Active Metadata Infrastructure: Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation).
•     Advanced Semantic Engineering: Comprehensive mastery of semantic web standards, including RDF, OWL, and SHACL, for building ontology-first structural data models alongside SPARQL for context-aware graph reasoning.
•     Policy-as-Code Compliance: Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers.
•     Caelum or Amundsen push-events: Alongside DataHub's Actions Framework to drive real-time, event-based data quality orchestration and automated schema rollbacks
Note
 
Target Educational Profiles:
•     Required: Minimum of 10+ years of enterprise data strategy experience.
•     Preferred: Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics.
•     Key Focus Areas: Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum/Amundsen.