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Graph Database Jobs in Florida (NOW HIRING)

NewGen Technologies

Deep expertise in Amazon Neptune (or equivalent graph database platforms) * Strong proficiency in RDF, OWL, SPARQL, and semantic web technologies * Experience designing and implementing enterprise ...

NewGen

Platform Architect/Consultant

Tampa, FL · On-site

Deep expertise in Amazon Neptune (or equivalent graph database platforms) * Strong proficiency in RDF, OWL, SPARQL, and semantic web technologies * Experience designing and implementing enterprise ...

Endurion

Data Scientist

Tampa, FL · On-site

Use data enrichment techniques to feed RDF triplestore and manage data with graph database. Uncovers and explains actionable insights from data by combining scientific method, math and statistics ...

Deloitte

Data Engineer | TS/SCI Required

Tampa, FL · On-site

$108K - $129K/yr

Supporting the build-out of an in-production unclassified system operating on a Top Secret network Designing and developing data engineering solutions across graph databases, OpenSearch, Parquet ...

Accenture

Knowledge Engineer Specialist

Tampa, FL · On-site

$70K - $205K/yr

Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases Bonus Points If: * 2+ years of hands-on ...

Accenture

Knowledge Engineer Specialist

Miami, FL · On-site

$70K - $205K/yr

Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases Bonus Points If: * 2+ years of hands-on ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content * Optimize the platform for real ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content * Optimize the platform for real ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content * Optimize the platform for real ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content * Optimize the platform for real ...

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How much do graph database jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for graph database in Florida is $39.70, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $44.90 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.

Are graph databases the future?

Graph database professionals are in demand as these databases are increasingly used for complex data relationships in areas like social networks, fraud detection, and recommendation systems. Skills in query languages such as Cypher and knowledge of data modeling are valuable for roles in this field, which is expected to grow with the expansion of data-driven applications.

What are the top 5 graph databases?

The top five graph databases widely used in the industry are Neo4j, Amazon Neptune, Microsoft Azure Cosmos DB, TigerGraph, and ArangoDB. These databases are known for their scalability, query languages like Cypher or Gremlin, and suitability for complex relationship data. Skills in graph modeling and query optimization are valuable for roles involving graph database management.

Is Neo4j better than SQL?

As a graph database, Neo4j is optimized for managing highly connected data and complex relationships, making it more suitable than SQL for certain use cases like social networks or recommendation engines. SQL databases excel at structured, tabular data and transactional consistency but are less efficient for relationship-heavy queries. The choice depends on the specific data model and application requirements.

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 is the salary of graph database developer?

The salary of a graph database developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and specific skills such as proficiency with graph database tools like Neo4j or Amazon Neptune. Senior roles or those with specialized expertise can earn higher compensation, often exceeding $150,000. Certifications and industry demand also influence salary levels.

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.

What are the most commonly searched types of Graph Database jobs in Florida? The most popular types of Graph Database jobs in Florida are:
What are popular job titles related to Graph Database jobs in Florida? For Graph Database jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Graph Database jobs in Florida look for? The top searched job categories for Graph Database jobs in Florida are:
Graph Database jobs near you
Infographic showing various Graph Database job openings in Florida as of June 2026, with employment types broken down into 41% Full Time, 52% Part Time, and 7% Contract. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $82,567 per year, or $39.7 per hour.

Data Architect with Fabric, Graph and Ontology

Volto USA

Tampa, FL • On-site

$60.25 - $77.50/hr

Contractor

Posted 20 hours ago

Job description

Data Architect with Fabric, Graph and Ontology

Tampa, FL - Hybrid

Contract

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