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Sparql Jobs (NOW HIRING)

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 ...

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 ...

Speria

Principal Data Architect

Atlanta, GA · On-site

... SPARQL for semantic interoperability. • Integrate structured and unstructured data into semantic layers for AI and analytics. • Build and optimize high-volume ETL/ELT pipelines using Spark ...

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 ...

Vantor

Ontology Engineer (TS/SCI)

Herndon, VA · On-site

$137K - $200K/yr

Leveraging Semantic Web standards, including RDF, OWL, and SPARQL, the Lead Ontologist develops scalable knowledge frameworks that enhance data discoverability, support AI/ML applications, and ...

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How much do sparql jobs pay per hour?

As of Jul 19, 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.

Can I get a job with SQL?

Sparql is a query language used for retrieving and manipulating data stored in Resource Description Framework (RDF) format, often in semantic web applications. While SQL is used for relational databases, knowledge of both can be valuable, as many data management roles require proficiency in multiple query languages. Having skills in SQL can enhance your employability in data analysis, database administration, and related fields, but specific job requirements depend on the role and organization.

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, interconnected datasets such as knowledge graphs and linked data, facilitating data integration and semantic 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.

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 jobs require SQL skills?

Jobs such as data analyst, database administrator, data engineer, and business intelligence analyst commonly require SQL skills to manage, analyze, and query data stored in relational databases. Proficiency in SQL is often essential for roles involving data management, reporting, and data-driven decision-making.
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 July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $62,702 per year, or $30.1 per hour.
Principal Data Architect

Principal Data Architect

Evolutyz Corp

Houston, TX • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
Evolutyz Corp is seeking a forward-thinking Data Architect with 10 years of experience to pioneer the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric. The role involves dismantling traditional ETL pathways and implementing an intelligent framework for operational metadata and enterprise data governance.
Responsibilities:
• Design and implement closed-loop data automation pipelines for active metadata infrastructure.
• Develop ontology-first structural data models using advanced semantic engineering.
• Deploy policy-as-code compliance using Open Policy Agent (OPA) or equivalent zero-trust policy engines.
• Utilize Caelum or Amundsen push-events alongside DataHub's Actions Framework for real-time, event-based data quality orchestration.
Qualifications:
Required:
• Minimum of 10 years of enterprise data strategy experience.
• Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics is preferred.
• Active Metadata Infrastructure: Experience in designing automated engines for metadata-triggered schema self-repair and structural drift remediation.
• Advanced Semantic Engineering: 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 with Open Policy Agent (OPA) or equivalent zero-trust policy engines.
• Experience with Caelum or Amundsen push-events and DataHub's Actions Framework.
Preferred:
• Experience in Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum, and Amundsen.
Company:
Evolutyz Corp is a leading next-generation IT products, platforms, and services company. Founded in 2011, the company is headquartered in Naperville, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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