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Graph Jobs in Florida (NOW HIRING)

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

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Graph information

See Florida salary details

$7

$23

$89

How much do graph jobs pay per hour?

As of May 30, 2026, the average hourly pay for graph in Florida is $23.19, according to ZipRecruiter salary data. Most workers in this role earn between $11.88 and $19.42 per hour, depending on experience, location, and employer.

What is a Graph job?

A Graph job typically refers to a position involving the analysis, visualization, or implementation of graph-based data structures and algorithms. This may include working with graph databases, network analysis, or machine learning applications that leverage graph theory. Common roles include Graph Data Scientist, Graph Engineer, or Network Analyst, often requiring expertise in tools like Neo4j, GraphQL, or NetworkX. These jobs are commonly found in industries such as social networks, cybersecurity, recommendation systems, and logistics.

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

To thrive as a Graphic Designer, you need a strong foundation in design principles, creativity, and proficiency in visual communication, often supported by a degree in graphic design or a related field. Mastery of technical tools such as Adobe Creative Suite (Photoshop, Illustrator, InDesign) and knowledge of digital asset management systems are typically required. Excellent communication, time management, and collaboration skills help designers effectively convey ideas and work with clients or teams. These skills are essential to producing compelling visuals that meet client goals and stand out in a competitive creative industry.

How does a Graph Database Engineer typically collaborate with data scientists and software developers in a project setting?

Graph Database Engineers often work closely with data scientists to design and optimize data models that support complex relationships and queries. They collaborate with software developers to integrate graph databases into applications, ensuring seamless data flow and performance. Regular meetings and code reviews help align database structures with business requirements and analytical goals. This cross-functional teamwork is essential for delivering scalable, high-performing solutions that leverage graph-based data.

What are Graph jobs?

Graph jobs typically refer to roles that involve working with graph data structures, graph databases, or graph theory. These jobs can include positions such as data scientists, software engineers, or researchers who analyze relationships between data points, model complex networks, or optimize algorithms for graph traversal. Graph jobs are commonly found in industries like technology, finance, telecommunications, and social media, where understanding connections and networks is crucial. Professionals in these roles often use tools such as Neo4j, GraphQL, or NetworkX to handle and analyze graph data. A strong background in mathematics, computer science, or data analysis is often required.

What is the difference between Graph vs Data Analyst?

AspectGraphData Analyst
Required CredentialsTypically no formal degree, but knowledge of graph theory helpsBachelor's or higher in data science, statistics, or related fields
Work EnvironmentResearch, academia, or specialized tech rolesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in computer science, mathematics, and research projectsApplied in analyzing data trends, reporting, and decision-making

While a graph refers to a mathematical or visual representation of data, a Data Analyst is a professional who interprets data, often using graphs as tools. The Data Analyst's role involves analyzing data sets, creating visualizations, and providing insights, whereas a graph is a component or tool used within data analysis processes.

More about Graph jobs
Infographic showing various Graph job openings in Florida as of May 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 61% Physical, 6% Hybrid, and 33% Remote job distribution, with an average salary of $48,238 per year, or $23.2 per hour.

Data Architect with Fabric, Graph and Ontology

Volto USA

Tampa, FL • On-site

$60.25 - $77.50/hr

Contractor

Posted 10 days 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