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Sparql Developer Jobs (NOW HIRING)

Develop SPARQL query templates and APIs for common analytical patterns * Implement knowledge graph ... Collaborate with NLP Engineers on entity resolution and with Data Fusion Engineers on relationship ...

$104K - $166K/yr

Knowledge Graph Engineer Peraton Labs is seeking a knowledge graph engineer to extend and maintain ... Develop SPARQL query templates and APIs for common analytical patterns * Implement knowledge graph ...

... SPARQL, and related ontology engineering methodologies. • Develop semantic data models and knowledge representation frameworks to support interoperability across intelligence systems. • ...

Data Engineer

Washington, DC

$129K - $155K/yr

Familiarity with semantic web technologies (RDF, OWL, SPARQL) and their use in OBI data integration. * Understanding of advanced analytic method augmentation. * Experience developing data ...

Data Engineer - Remote

Jersey City, NJ · On-site +1

$125K - $150K/yr

Strong experience using SPARQL within AWS Neptune/Anzo experience As a Data Engineer you will: * Deliver quality work with little oversight and direction * Ensure all project deliverables are high ...

Write and optimize complex SQL queries for PostgreSQL and SPARQL/Cypher queries * Support data ... Database Engineer Clearance Requirements: TS/SCI with CI Polygraph. Investigation or CV date within ...

The company is primarily focused on information technology, engineering, healthcare, financial ... RDF) and SPARQL is a plus Experience with distributed computing is a plus Familiarity with ...

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Sparql Developer information

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How much do sparql developer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for sparql developer in the United States is $57.25, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $65.87 per hour, depending on experience, location, and employer.

What are SPARQL Developers?

SPARQL Developers are professionals who specialize in working with SPARQL, a powerful query language used to retrieve and manipulate data stored in Resource Description Framework (RDF) format. They design, write, and optimize SPARQL queries to access linked data and semantic web datasets. SPARQL Developers often work on projects involving data integration, knowledge graphs, and semantic data modeling. Their expertise is essential for organizations that manage large-scale, complex datasets and require advanced data retrieval and reasoning capabilities.

What are the key skills and qualifications needed to thrive as a SPARQL Developer, and why are they important?

To thrive as a SPARQL Developer, you need a strong background in semantic web technologies, RDF data modeling, and advanced SPARQL query writing, often backed by a degree in computer science or a related field. Familiarity with triple stores like Apache Jena or Virtuoso, and experience using ontology editors such as Protégé, are typically required, along with knowledge of related standards like OWL. Analytical thinking, attention to detail, and effective problem-solving are essential soft skills for optimizing queries and collaborating with interdisciplinary teams. These capabilities are vital for efficiently managing linked data and delivering robust semantic data solutions in complex enterprise environments.

What is the difference between Sparql Developer vs Data Analyst?

AspectSparql DeveloperData Analyst
Required SkillsSPARQL, RDF, semantic web technologiesSQL, data visualization, statistical analysis
Work EnvironmentSemantic web projects, knowledge graphsBusiness intelligence, reporting
Industry UsageTech, research, data integrationFinance, marketing, healthcare

While both roles involve working with data, Sparql Developers focus on querying and managing semantic web data using SPARQL, whereas Data Analysts analyze structured data to generate insights. The roles differ in technical skills and industry applications but may overlap in data handling tasks.

What are some common challenges faced by a Sparql Developer when integrating SPARQL queries with existing data infrastructure?

Sparql Developers often encounter challenges when integrating SPARQL queries with traditional relational databases or heterogeneous data sources. Ensuring efficient query performance, managing data consistency, and handling differences in data modeling (such as RDF versus SQL schemas) are frequent hurdles. Close collaboration with data architects and backend engineers is essential to develop effective solutions, optimize query execution, and maintain data integrity. Familiarity with middleware tools and semantic web standards can significantly help address these integration challenges.
Knowledge Graph/Ontology Engineer

Knowledge Graph/Ontology Engineer

Peraton

Annapolis Junction, MD

$104K - $166K/yr

Other

Posted 27 days ago


Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

46th of 204 rated it services


Job description


Knowledge Graph/Ontology Engineer
Job Locations
US-MD-Annapolis Junction | US-NJ-Basking Ridge
Requisition ID
2026-166757
Position Category
Information Technology
Clearance
Secret
Responsibilities

Peraton Labs is seeking a knowledge graph engineer to extend and maintain the knowledge graph that underpins a generative AI-powered analytical platform. This role models entities and their relationships, enabling cross-portfolio queries, entity linking, and relationship-based analytics that connect elements into a navigable knowledge structure.

Key Responsibilities

    Design and implement ontologies for various entities
  • Extend the knowledge graph with entity types and relationship models
  • Build entity extraction and linking pipelines that populate the knowledge graph from both structured and unstructured sources
  • Enable cross-portfolio queries
  • Develop SPARQL query templates and APIs for common analytical patterns
  • Implement knowledge graph quality assurance: consistency checks, completeness monitoring, and conflict resolution
  • Design the knowledge graph update pipeline for incremental data ingestion
  • Collaborate with NLP Engineers on entity resolution and with Data Fusion Engineers on relationship validation

#px2026

Qualifications

Required Qualifications

  • Minimum of 8+ years of experience with a Bachelor's degree, 6+ years with a Master's degree, or 3+ years with a PhD in Computer Science, Information Science, or related field
  • 3+ years of experience with knowledge representation, ontology engineering, or graph databases
  • Proficiency with RDF, OWL, SPARQL, and semantic web technologies
  • Experience with graph databases (Oxigraph, Blazegraph, Neo4j, or similar)
  • Strong Python proficiency; experience with RDF libraries (rdflib, or similar)
  • Understanding of ontology design patterns and best practices
  • Experience with entity resolution and knowledge base population
  • Familiarity with linked data principles and standards
  • US Citizenship with the ability to obtain/maintain a Secret clearance

Preferred Qualifications

  • Experience with defense or government ontologies (DoD Architecture Framework, NIEM)
  • Experience with knowledge graph embedding and graph neural networks
  • Knowledge of provenance tracking and data lineage in knowledge graphs

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017