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Graph Database Jobs in Texas (NOW HIRING)

Twenty

Senior Forward Deployed Analyst

San Antonio, TX · On-site

$79K - $105K/yr

Validate that AI-powered graph database applications accurately represent and enhance cyber operations in both defensive and offensive contexts * Lead requirements gathering sessions with government ...

Zortech Solutions

Neo4J Developer

Plano, TX · On-site

$48.75 - $63.25/hr

Neo4J, Tiger Graph, Graph Database (Java or Scala or Python) Must have: Neo4J, Tiger Graph, Graph Database (Java or Scala or Python) Bachelor's or master's degree in computer science or related field ...

Donato Technologies, Inc

Neo4J developer

Austin, TX · On-site

$70/hr

Designing, implementing, and optimizing graph-based solutions using Neo4j, collaborating with stakeholders, and potentially providing technical expertise on graph database best practices. * Working ...

Soni Resources

Principal Data Architect

Grapevine, TX · On-site

$150K/yr

Soni's client is seeking a Principal Data Architect to lead enterprise-wide data architecture strategy across relational, NoSQL, vector, and graph database ecosystems. This is the most senior ...

Apex Informatics

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Hands on experience integrating with graphql & graph database * Good understanding and setting up Neo4J database * Hands-on development experience including writing and testing code, debugging ...

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Graph Database information

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.

What are the most commonly searched types of Graph Database jobs in Texas? The most popular types of Graph Database jobs in Texas are:
What are popular job titles related to Graph Database jobs in Texas? For Graph Database jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Graph Database jobs in Texas look for? The top searched job categories for Graph Database jobs in Texas are:
What cities in Texas are hiring for Graph Database jobs? Cities in Texas with the most Graph Database job openings:
Graph Database jobs near you
Infographic showing various Graph Database job openings in Texas as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Graph and Time Series Database Specialist

Futran Tech Solutions Pvt. Ltd.

Plano, TX • On-site

Full-time

Re-posted 24 days ago

Job description

Title: Graph and Time Series Database Specialist
Location: Plano, Texas (Onsite Role)
Need Local Candidates Only
Position Overview:
We are seeking a highly skilled and motivated Graph and Time Series Database Specialist to join our dynamic team. As a specialist in graph and time series databases, you will play a critical role in designing, implementing, optimizing, and maintaining our data storage solutions. Your expertise will help drive innovation, enhance data performance, and support our organization's data-driven decision-making processes.
Key Responsibilities:
1. Database Design and Implementation:
• Collaborate with cross-functional teams to understand data requirements and design appropriate graph and time series database schemas.
• Implement and configure graph and time series databases to meet specific application needs.
• Ensure data integrity, consistency, and security across databases.
2. Query Optimization and Performance Tuning:
• Analyze and optimize query performance for graph traversal and time series data retrieval.
• Identify and resolve bottlenecks to improve overall database performance.
• Monitor and fine-tune database parameters to enhance system efficiency.
3. Data Modeling:
• Develop and maintain data models for graph and time series data structures.
• Map complex relationships and hierarchies for efficient graph traversals.
• Define retention policies and storage strategies for time series data.
4. Data Integration:
• Integrate graph and time series databases with existing systems and applications.
• Implement data pipelines for seamless data ingestion and synchronization.
• Work with ETL processes to ensure timely and accurate data updates.
5. Security and Compliance:
• Implement security measures to protect sensitive data stored in the graph and time series databases.
• Ensure compliance with relevant data protection regulations and industry standards.
Troubleshooting and Maintenance:
• Monitor database health and diagnose and resolve issues as they arise.
Required Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• Proven development experience with in Graph database technologies (e.g., Neo4j, Amazon Neptune), Time Series databases (e.g., InfluxDB, TimescaleDB, AWS Timestream), NOSQL (eg., AWS DynamoDB, MongoDB) and In-memory(eg., AWS MemoryDB for Redis)
• Graph Query Languages like openCypher, Gremlim or SPARQL.
• Proficiency in Python programming.
• Solid knowledge of graph database concepts, including graph data modeling, traversal algorithms, etc.
• Exeprience in GraphDB tuning techniques, eg: partitioning and sharding, create and use indexes, Query profiling, Configure the page cache, Configuration parameters and memory tuning, garbage collection, etc.
• Implement data ingestion pipelines to efficiently capture and store real-time and historical time series data from various sources.
• Design and develop time series database architectures that efficiently manage high-frequency, chronological data.
• Proficiency in database design, query optimization, and performance tuning.
• Strong understanding of data modeling principles for graph structures and time-based data.
• Familiarity with real-time data processing frameworks (e.g., Kafka, Apache Flink) is a plus.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration abilities.
• Ability to work independently and manage multiple tasks simultaneously.
• Preferred certifications: Neo4j Certified Professional, InfluxData Certified Professional, etc.

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