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Graph Database Jobs (NOW HIRING)

Navtech, Inc.

Neo4J Developer

Rockville, MD · On-site

$53.50 - $69/hr

Data models for Property-Graph databases e.g. Neo4j * Master, Reference and Metadata Management, Data Quality, Integration, Interoperability * Query Languages for Property-Graph or Knowledge-Graph ...

SkilzMatrix Digital

Data Engineer

Pittsburgh, PA · On-site

$107K - $128K/yr

Hands-on experience with Neo4j Graph Database * Proficiency in Cypher Query Language * Experience with Python, Java, or Scala * Strong SQL and data modeling skills * Experience with ETL/ELT pipelines

Squirro

Knowledge Graph Engineer

New York, NY · On-site

Familiarity with graph databases, particularly RDF graph databases * Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) * Ability to collaborate effectively across ...

Pyramid Consulting, Inc

NEO4J Admin

The role involves supporting neo4j database administration, collaborating with teams to design graph data models, and developing automation scripts for data transformation. Responsibilities : • ...

iLink Digital

Senior Graph AI Engineer

North Chicago, IL · On-site

$117K - $155K/yr

Hands-on experience with graph databases (e.g.,Neo4j) * Proficiency in query languages such asCypher * Performance tuning and scalability of graphworkloads * Integrating graph data with AI/ML ...

Squirro

Knowledge Graph Engineer

New York, NY

Familiarity with graph databases, particularly RDF graph databases * Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) * Ability to collaborate effectively across ...

Squirro

Knowledge Graph Engineer

New York, NY · Remote

Familiarity with graph databases, particularly RDF graph databases * Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) * Ability to collaborate effectively across ...

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Graph Database information

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How much do graph database jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for graph database in the United States is $53.12, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $60.10 per hour, depending on experience, location, and employer.

What is a Graph Database job?

A Graph Database job typically involves working with graph-based database technologies such as Neo4j, ArangoDB, or Amazon Neptune. Professionals in this role design, implement, and optimize graph database models to efficiently store and retrieve complex relationships between data points. Common responsibilities include data modeling, query optimization using graph query languages (e.g., Cypher, Gremlin), and integrating graph databases into larger data ecosystems. These roles are often found in industries like fraud detection, social networking, and recommendation systems, where understanding relationships between data is crucial.

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

To thrive as a Graph Database Engineer, you need expertise in data modeling, query languages such as Cypher or Gremlin, and a solid understanding of graph theory and database architectures. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or TigerGraph, as well as certifications in relevant technologies, are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with development and analytics teams. These competencies are vital for designing efficient graph data solutions, optimizing performance, and supporting business insights through connected data analysis.

What are some common challenges faced by professionals working with graph databases?

One common challenge when working with graph databases is efficiently modeling highly connected data structures to optimize for both query performance and scalability. Professionals must continuously evaluate indexing strategies and traversal queries to prevent bottlenecks as datasets grow. Another challenge is integrating graph databases with existing data pipelines or relational systems, which often requires specialized knowledge. However, these challenges offer opportunities to innovate and collaborate with cross-functional teams to deliver powerful solutions for complex data relationships.

More about Graph Database jobs
What cities are hiring for Graph Database jobs? Cities with the most Graph Database job openings:
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What states have the most Graph Database jobs? States with the most job openings for Graph Database jobs include:
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Graph Database jobs near you
Infographic showing various Graph Database job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 57% Physical, 3% Hybrid, and 40% Remote job distribution, with an average salary of $110,489 per year, or $53.1 per hour.
Information Technology_USA - USA_Engineer

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 6 hours ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: /hr
MSP Owner: Tory Robinson
Location : Tampa, FL - Hybrid
Duration: 6+ months
skill id: 10749418
Data Architect with Fabric, Graph and Ontology
Job Title: Data Architect / Engineer - Knowledge Fabric (Graph Database Experience)
Job Description:
We are seeking an experienced Data Architect / Engineer with expertise in Graph DB experience and ideally knowledge of Graph RAG patterns and Ontology including OWL to join our team and support on the development and implementation of a knowledge repository platform. In this role, you will design, build, and optimize data architectures that enable robust, scalable, and efficient knowledge of representation and discovery across complex, interconnected datasets.
Responsibilities:
• Design, develop, and maintain data architectures and models specifically leveraging graph database technologies (e.g., Neo4j, Amazon Neptune, Tiger Graph).
• Collaborate with data scientists, data engineers, and domain experts to understand data requirements and translate them into scalable graph data models and solutions.
• Develop ETL/ELT processes for ingesting, transforming, and loading data into graph databases, ensuring data integrity, quality, and consistency.
• Optimize data storage and retrieval for performance, query efficiency, and scalability in graph environments.
• Implement data governance and security best practices in accordance with organizational policies.
• Analyze complex datasets to identify relationships and create knowledge graphs that support insights and innovation.
• Ensure seamless integration with other data platforms, APIs, and services within the overall data ecosystem.
• Provide technical leadership, documentation, and standards for graph data architecture.
• Stay updated with the latest trends and advancements in graph technology and data architecture.
Required Skills and Qualifications:
• Proven experience as a Data Architect, Data Engineer, or in a similar role with a focus on graph databases.
• Experience with .NET development. (Must have)
• Power BI and Databricks knowledge (Nice to have)
• Exposure to Azure DevOps.
• Hands-on experience designing and deploying knowledge graphs and graph data models.
• Strong proficiency in graph query languages such as Cypher, Gremlin, or SPARQL.
• In-depth knowledge of graph database platforms (Neo4j, Amazon Neptune, Tiger Graph, etc.).
• Solid understanding of data modeling concepts, relational and NoSQL databases.
• Experience designing ETL pipelines and data workflows for graph-based systems.
• Proficiency in programming languages such as Python, Java, or Scala used for data processing.
• Familiarity with cloud platforms and services (AWS, Azure, GCP) relevant to data architecture.
• Understanding of data governance, metadata management, and security protocols.
• Excellent problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication skills to convey technical concepts to both technical and non-technical stakeholders.
Preferred:
• Experience with Semantic Web technologies and standards (RDF, OWL, Linked Data).
• Knowledge of AI/ML applications leveraging graph data.
• Background in knowledge management, knowledge graphs, or ontologies.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Role Descriptions: Good Communication Skill
Essential Skills: Service Now
Desirable Skills:
Keyword:
Skills: Digital : ServiceNow_IT Service Management~ServiceNow
Experience Required: 8-10, Project Code :

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