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Graph Jobs in Texas (NOW HIRING)

Tekwissen

Knowledge Graph Engineer

Frisco, TX · Hybrid

Knowledge Graph Engineer Location: Atlanta GA / Frisco TX Duration: 6 Months Job Type: Temporary Assignment Work Type: Hybrid : About the Role: * We are looking for an experienced Knowledge Graph ...

New

Spiceorb

Knowledge Graph Engineer

Frisco, TX · On-site

Knowledge Graph Engineer Location: Frisco, TX and Atlanta, GA (Onsite) Duration: Contract Must: * Graph DB (Neptune OR Neo4j OR Tiger Graph) * Gremlin OR Cypher Good to have: * Neptune specific

New

Infosys

Graph DB Developer

Plano, TX · On-site

$50.50 - $65.25/hr

Required : • Hands-on experience in software development or data science • Experience building E2E analytics platform using Streaming, Graph and Big Data platform • Experience with Graph-based ...

Infosys

Graph DB Developer

Plano, TX · On-site

Required Skill and Experience • Hands-on experience in software development or data science • Experience building E2E analytics platform using Streaming, Graph and Big Data platform • ...

Anblicks

Lead AI Engineer ( Agentic AI)

Richardson, TX · Hybrid

$93K - $122K/yr

Build and scale Customer Knowledge Graph using Neo4j and App Orchid * Develop entity resolution, relationship mapping, and enrichment pipelines * Write and optimize graph queries (Cypher) for ...

Incedo Inc.

Full-Stack AI Engineer

Dallas, TX · Hybrid

NICE-TO-HAVES ----- - Experience with Spanner Graph, LlamaIndex Property Graph, or similar graph-native RAG frameworks. - Familiarity with entity extraction and NLP pipelines for automated graph ...

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How much do graph jobs pay per hour?

As of Jun 19, 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.

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 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 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 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 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 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 June 2026, with employment types broken down into 65% Full Time, 31% Part Time, 1% Temporary, and 3% Contract. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $60,138 per year, or $28.9 per hour.
Knowledge Graph Engineer

Knowledge Graph Engineer

Tekwissen

Frisco, TX • Hybrid

Other

Posted 2 days ago

Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Knowledge Graph Engineer
Location: Atlanta GA / Frisco TX
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description :
About the Role:
  • We are looking for an experienced Knowledge Graph Engineer to design, build, and scale a production-grade property graph platform that powers customer segmentation, device intelligence, and household-level insights.
  • You will own the full lifecycle - from schema design and bulk ingestion to real-time CDC pipelines and graph embedding - working closely with the segment engine team to deliver high-performance traversal queries and ML-ready embeddings at scale.
Key Responsibilities:
  • Schema Design: Architect the property graph schema defining node types - Customer, Device, Account, Plan, Offer - and edge types - HAS_DEVICE, ON_PLAN, SHARES_HOUSEHOLD, SIMILAR_TO - ensuring optimal cardinality and partition key design for scale.
  • Bulk Load Pipeline: Build and validate the initial bulk load job across the ingestion stack (e.g., Delta Lake → S3 staging → Neptune bulk loader or equivalent technology).
  • Real-Time CDC Pipeline: Implement a change data capture pipeline (e.g., Cosmos DB Change Feed → Kafka → Flink → Neptune writer) with an end-to-end lag target of <60 seconds.
  • Query Development: Write and optimize Gremlin traversal queries for household segmentation, device-sharing patterns, and account-linked segmentation use cases.
  • Index Strategy: Design vertex-centric indexes and leverage Neptune Analytics HNSW for embedding-based similarity lookups.
  • Graph Embeddings: Build a Node2Vec embedding pipeline (SageMaker or Databricks) and load SIMILAR_TO edges to support ML-driven similarity features.
  • Documentation: Document schema definitions, traversal patterns, and query performance benchmarks for consumption by the segment engine team.
Must-Have Skills & Qualifications:
  • 4+ years of graph database engineering experience with production Gremlin / TinkerPop expertise.
  • AWS Neptune or equivalent cloud graph database - bulk loader operations, instance sizing, HA configuration, and VPC networking.
  • Apache Kafka and Apache Flink for CDC pipeline design and implementation.
  • Property graph data modelling - entity resolution, edge cardinality, and partition key design.
  • Graph traversal performance profiling at scale (100M+ nodes).
Nice-to-Have Skills:
  • Graph embedding algorithms - Node2Vec, GraphSAGE, or similar.
  • Neptune Analytics experience for graph analytics workloads.
  • Neo4j migration or comparative architecture experience (trade-offs vs. Neptune at scale).
  • Python (gremlinpython) and Java traversal source authoring.
  • AWS SageMaker or Azure Databricks for embedding model training.
What We Offer:
  • Opportunity to architect and own a greenfield knowledge graph platform at enterprise scale.
  • Work with cutting-edge graph and ML technologies across AWS, Kafka, Flink, and SageMaker ecosystems.
  • Collaborate with data engineering, ML, and product teams to drive real customer and business impact.
  • Competitive compensation, flexible work arrangements, and a culture of continuous learning.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.
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About TekWissen

Sourced by ZipRecruiter

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2009

Social media

Twitter

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