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Graph Jobs in Texas (NOW HIRING)

Citizens

Principal Data Engineer - Neo4J

Austin, TX · On-site

Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives and goals ...

Citizens

Principal Data Engineer - Neo4J

Austin, TX · On-site

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Citizens

Principal Data Engineer - Neo4J

Austin, TX · On-site

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Cisco

Applied AI Scientist

Austin, TX · On-site

Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured ...

Cisco

Applied AI Scientist

Dallas, TX

Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured ...

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All JobsGraph JobsGraph Jobs in Texas

Graph information

See Texas salary details

$8

$28

$111

How much do graph jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for graph in Texas is $28.91, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $24.18 per hour, depending on experience, location, and employer.

What is a graph?

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.

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 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.

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.

What careers use graphs?

Careers that use graphs include data analysts, statisticians, data scientists, and business analysts, who interpret and visualize data to support decision-making. These roles often require skills in data visualization tools like Excel, Tableau, or Power BI, and involve analyzing trends, patterns, and relationships within data sets.

What are popular job titles related to Graph jobs in Texas?

For Graph jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Graph jobs in Texas look for?

The top searched job categories for Graph jobs in Texas are:

Graph jobs near you
Infographic showing various Graph job openings in Texas as of August 2026, with employment types broken down into 69% Full Time, 25% Part Time, 5% Contract, and 1% Nights. Highlights an 54% Physical, 8% Hybrid, and 38% Remote job distribution, with an average salary of $60,138 per year, or $28.9 per hour.

Data & Knowledge Graph Architect

Lake Dallas, TX • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

$62 - $79.75/hr

Full-time

Re-posted 4 days ago

Job description

Job Title: Data & Knowledge Graph Architect
Job Type: Full Time
Experience: 10+ years
Job Overview
Our client is seeking a senior Data & Knowledge Graph Architect to build systems that collect, manage, and convert raw data into usable information for business requirements. You will play a crucial role in ensuring data retrieval, reliability, quality, and efficiency within the organization, with a focus on RDF-based graph databases and knowledge graph design.
Required Skills
  • Languages & Frameworks: Python, Java, Spark (10-12+ years)
  • Graph & Query: RDF-based Graph Databases (RDF4j, Virtuoso, GraphDB, Apache Jena), SPARQL (6+ years)
  • Vector Databases: Pinecone, FAISS (6+ years)
  • Data Engineering: Data Pipeline Design, Batch & Stream Processing, Kafka, Large Data Handling
  • Databases: SQL, NoSQL, RDS, Redshift, DynamoDB, Synapse, BigQuery, MongoDB
  • Cloud Platforms: Azure, AWS, GCP - minimum two platforms (8+ years)
  • APIs & Messaging: REST APIs, FastAPI, event-driven messaging technologies
  • AI Coding Agents: Proficiency in AI-assisted coding tools
  • Architect-level experience: 6+ years in an architect role

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