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Sparql Jobs (NOW HIRING)

Senior Graph Developer

Glencoe, IL · Hybrid

$56.75 - $75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Norridge, IL · Hybrid

$54.25 - $71.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

La Grange, IL · Hybrid

$53.25 - $70.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Justice, IL · Hybrid

$55.50 - $73.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Itasca, IL · Hybrid

$53 - $70/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Chicago, IL · Hybrid

$54.75 - $72.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Skokie, IL · Hybrid

$52 - $68.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Chicago, IL · Hybrid

$54.25 - $71.50/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Winfield, IL · Hybrid

$53.25 - $70.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Summit Argo, IL · Hybrid

$51.75 - $68.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Northbrook, IL · Hybrid

$55.25 - $73/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Brookfield, IL · Hybrid

$54.75 - $72.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Berkeley, IL · Hybrid

$53.75 - $71.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Deerfield, IL · Hybrid

$55.50 - $73.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Lyons, IL · Hybrid

$54.50 - $72/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Maywood, IL · Hybrid

$53.50 - $70.50/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Burr Ridge, IL · Hybrid

$53.75 - $71/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Glenview, IL · Hybrid

$53.75 - $71/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Showing results 41-60

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How much do sparql jobs pay per hour?

As of Sep 3, 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?

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?

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

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:

Infographic showing various Sparql job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,702 per year, or $30.1 per hour.

Senior Graph Developer

Long Finch Technologies

Glencoe, IL • Hybrid

$56.75 - $75/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We are seeking an experienced Senior Graph Developer to design, build, and scale enterprise-level graph database solutions. The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and reduce AI hallucinations.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Architecture, or a related technical field.
  • 10+ years of professional experience in software engineering, data engineering, or graph technology development.
  • Extensive hands-on experience designing, implementing, and managing production-scale Amazon Neptune graph database environments.
  • Strong expertise in graph query languages such as SPARQL and/or Gremlin.
  • Strong experience designing and developing data engineering and ETL pipelines.
  • Practical experience implementing GraphRAG solutions and integrating knowledge graphs with AI/ML workflows.
  • Advanced programming experience in Python or JVM-based languages such as Java or Scala.
  • Strong understanding of AWS cloud services, including:
    • Amazon Neptune
    • AWS S3
    • Amazon RDS
    • Amazon ECS
  • Experience designing enterprise ontologies, taxonomies, and graph schemas.
Preferred Qualifications
  • Experience with Generative AI integration and LLM-based applications.
  • Experience building backend APIs and services.
  • Experience integrating graph databases with vector databases and hybrid search architectures.
  • Strong understanding of knowledge graph modeling and semantic technologies.
  • Experience working with large-scale distributed systems.
Key Responsibilities
  • Design and develop enterprise ontologies, taxonomies, and graph schemas representing complex business domains.
  • Architect, configure, monitor, and scale Amazon Neptune environments capable of handling billions of relationships.
  • Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin.
  • Build and maintain data ingestion frameworks and ETL pipelines for graph-based applications.
  • Integrate knowledge graphs into GraphRAG pipelines to improve AI response accuracy, contextual grounding, and reduce hallucinations.
  • Partner with AI/ML teams to implement hybrid search solutions combining graph traversal capabilities with vector database technologies.
  • Develop scalable backend services and APIs supporting graph-powered applications.
  • Collaborate with architecture, engineering, and business teams to translate complex requirements into scalable graph solutions.
  • Ensure reliability, security, and performance of graph database infrastructure.