ZipRecruiter

Log In

1

Graph Database Jobs in Texas (NOW HIRING)

Public Storage

Senior AI/ML Data Engineer

Frisco, TX · On-site

$99K - $134K/yr

Experience with graph database technologies such as Neo4j, Neptune, or similar platforms * Familiarity with use cases involving knowledge graphs, entity relationships, recommendation systems, fraud ...

Public Storage

Senior AI/ML Data Engineer

Frisco, TX · On-site

$99K - $134K/yr

Experience with graph database technologies such as Neo4j, Neptune, or similar platforms * Familiarity with use cases involving knowledge graphs, entity relationships, recommendation systems, fraud ...

Public Storage

Senior AI/ML Data Engineer

Frisco, TX · On-site

$99K - $134K/yr

Experience with graph database technologies such as Neo4j, Neptune, or similar platforms * Familiarity with use cases involving knowledge graphs, entity relationships, recommendation systems, fraud ...

Photon

Gen AI Lead - TX

Irving, TX

$15.50 - $18.75/hr

Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...

CareSet Systems

Mid-level SQL PHP Developer

Houston, TX · On-site

$65K/yr

Have experience with graph databases like neo4j * Hadoop/PIG would be lovely * MongoDB is great * Data science, statistics and/or graph analysis would be great as well Additional Information ...

CareSet Systems

Mid-level SQL PHP Developer

Houston, TX · On-site

$65K/yr

Have experience with graph databases like neo4j * Hadoop/PIG would be lovely * MongoDB is great * Data science, statistics and/or graph analysis would be great as well Additional Information ...

Tanium

Director, Product Management - Data Platform

Addison, TX · On-site +1

$225K - $236K/yr

Experience with graph databases or graph-based data models. * Experience with large-scale database systems, analytics platforms, or enterprise data visualization products. * Broader hyperscaler depth ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site +1

Build and maintain enterprise knowledge models using ontologies, semantic relationships, metadata, and graph databases . * Develop advanced retrieval pipelines combining vector search, hybrid search ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site

Build and maintain enterprise knowledge models using ontologies, semantic relationships, metadata, and graph databases . * Develop advanced retrieval pipelines combining vector search, hybrid search ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site +1

Build and maintain enterprise knowledge models using ontologies, semantic relationships, metadata, and graph databases . * Develop advanced retrieval pipelines combining vector search, hybrid search ...

Accenture

Senior Knowledge Engineer

Dallas, TX · On-site

$103K - $142K/yr

Graph databases: Neo4j, Amazon Neptune, TigerGraph, Stardog * SPARQL, Cypher, and Gremlin query languages * Graph traversal, reasoning, inference, entity resolution, and enrichment Agentic AI & LLM ...

Bread Financial

Senior Staff Agentic AI Engineer

Frisco, TX · On-site +1

$99K - $134K/yr

Graph Databases * Large Language Models (LLMs) * PostgreSQL * Prometheus (Software) * New Relic * Redis * Telemetry Reports To : Director and above Direct Reports : 0 Work Environment * Normal office ...

previous page

Showing results 41-60

All JobsGraph Database JobsGraph Database Jobs in Texas

Graph Database information

What is a graph database?

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 August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior AI/ML Data Engineer

Public Storage

Frisco, TX • On-site

$99K - $134K/yr

Full-time

Posted 22 days ago

Public Storage rating

6.9

Company rating: 6.9 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

5th of 29 rated removal and storage companies

Job description

Company Description
Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords.
We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.
We're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange.
Public Storage is the nation's leading self-storage provider, recognized for its iconic orange doors and commitment to delivering simple, reliable solutions to millions of customers across the country. We are expanding our creative team to enhance our consistent and engaging visual brand presence.
Job Description
What You'll Do
Data Engineering & Pipeline Development (Primary) - 60%
  • Architect, build, and maintain batch and streaming data pipelines using BigQuery, dbt, Airflow/Cloud Composer, and Pub/Sub
  • Design and implement layered data models, semantic layers, and modular pipelines that scale as business needs evolve
  • Establish and enforce best practices for data quality, observability, lineage, and schema governance
  • Optimize BigQuery for performance and cost efficiency, including partitioning, clustering, and workload-aware modeling
  • Work with both structured data and unstructured data such as web logs, call center transcripts, images, and video when required by the use case
  • Leverage BQML and related data science capabilities for use cases such as anomaly detection, classification, and operational decision support
  • Deliver reliable, scalable, and high-performing pipelines that enable downstream ML, analytics, and operational applications

ML/AI Platform Engineering - 20%
  • Convert prototype notebooks and models into production-grade, versioned, testable Python packages
  • Deploy and manage training and inference workflows on GCP using Cloud Run, GKE, and Vertex AI
  • Implement CI/CD, model versioning, rollback strategies, and operational guardrails for ML systems
  • Evaluate emerging GCP and third-party products; build shared libraries, templates, and internal tooling that accelerate delivery across teams
  • Enable ML teams to ship faster with fewer operational failure points

Applied AI & Real-Time Decisioning - 20%
  • Support real-time, event-driven inference and streaming feature delivery for mission-critical decisions, including recommendation systems, dynamic experimentation, and agentic AI use cases
  • Contribute to internal LLM-based assistants, retrieval-augmented generation (RAG) systems, and automation agents
  • Implement model monitoring, drift detection, alerting, and performance tracking frameworks
  • Evaluate and apply graph-based data patterns where they improve recommendations, relationship analysis, knowledge retrieval, or decision intelligence

Cross-Functional Collaboration
  • Partner with data scientists, analysts, and engineers to operationalize models, semantic layers, and data products into maintainable production systems
  • Collaborate with pricing, digital product, analytics, and business teams to stage rollouts, support experiments, and define success metrics
  • Participate in architecture reviews, mentor engineers, and communicate technical trade-offs clearly
  • Contribute to an engineering culture grounded in ownership, curiosity, thoughtful debate, and continuous learning

What We're Looking For
We are looking for someone who is not only technically strong, but also:
  • Passionate about building high-quality systems
  • Hardworking and dependable, with strong ownership of outcomes
  • Eager to learn, experiment, and deepen expertise over time
  • Comfortable in a fast-paced environment where priorities can shift quickly
  • Open to collaboration, feedback, and healthy technical debate
  • Interested in growing both technical depth and leadership capability over the long term

Qualifications
Qualifications
  • MS in Computer Science with 4+ years of experience, or BS in Computer Science with 6+ years of experience
  • 3+ years of hands-on experience building data pipelines in a code-first environment using Python, SQL, and dbt
  • 1+ year of experience with real-time or event-driven systems such as Pub/Sub, Dataflow, or comparable streaming frameworks
  • 2+ years of experience owning technical decisions or helping lead engineering direction
  • 1+ year of hands-on experience with graph databases, including graph data modeling, relationship-centric querying, or graph-based problem solving

Preferred Experience
  • Experience with GCP and/or AWS
  • Experience with ML platform tooling or monitoring such as MLflow, Evidently, or Vertex AI
  • Knowledge of semantic search, vector embeddings, LLM orchestration, or RAG workflows
  • Experience with graph database technologies such as Neo4j, Neptune, or similar platforms
  • Familiarity with use cases involving knowledge graphs, entity relationships, recommendation systems, fraud patterns, or connected data analysis
  • Domain experience in pricing, recommendations, forecasting, or large-scale customer analytics
  • Familiarity with geospatial data or map-based modeling
  • Some JavaScript experience for lightweight UI or prototyping work

Why This Role Will Excite You
  • You'll work in a fast-moving environment where decisions are made quickly and your work drives real business outcomes
  • You'll own meaningful parts of the platform, not just execute isolated tasks
  • You'll build end-to-end solutions-from ingestion and transformation to ML inference and production integration
  • You'll have the opportunity to learn quickly, expand your scope, and grow your technical leadership
  • You'll join a team that values curiosity, execution, and continuous improvement

Additional Information
Workplace
  • One of our values pillars is to work as One Team and we believe that there is no replacement for in-person collaboration but understand the value of some flexibility. Public Storage teammates are expected to work in the office five days each week with the option to take up to three flexible remote days per month.

Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply.
**Sponsorship for Work Authorization is not available for this posting. Candidates must be authorized to work in the U.S. without restrictions or requiring sponsorship now or in the future. We do not provide training plans or support for F-1 OPT, STEM OPT extensions, or future visa sponsorship.**

What Public Storage employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Public Storage logo

About Public Storage

Sourced by ZipRecruiter

Public Storage is a leading self-storage real estate investment trust (REIT) in the United States. With thousands of storage facilities across the country, Public Storage offers convenient and secure storage solutions for individuals and businesses. Public Storage facilities provide a range of storage unit sizes to accommodate various needs, from personal belongings to commercial inventory. Public Storage well-maintained and clean facilities are equipped with advanced security systems, including electronic gate access, surveillance cameras, and on-site management, ensuring the safety and protection of stored items.

Industry

Warehousing and storage

Company size

5,001 - 10,000 Employees

Headquarters location

Glendale, CA, US

Year founded

1972

Social media

FacebookTwitter

View All Public Storage Jobs

Apply