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Senior Specialist Graph Database Jobs (NOW HIRING)

Twenty

Senior Forward Deployed Analyst

Augusta, GA

$82K - $109K/yr

Senior Forward Deployed Analyst Twenty is seeking a Senior Forward Deployed Analyst in the Augusta ... Validate that AI-powered graph database applications accurately represent and enhance cyber ...

Twenty

Senior Forward Deployed Analyst

San Antonio, TX

$79K - $105K/yr

Senior Forward Deployed Analyst Twenty is seeking a Senior Forward Deployed Analyst in the San ... Validate that AI-powered graph database applications accurately represent and enhance cyber ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI ... Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j ...

TSC

Senior AI Engineer

Dahlgren, VA · On-site

$106K - $146K/yr

Job Summary : TSC is seeking a Senior Ontology Engineer to design, develop, and maintain ... graph database deployments (e.g., Stardog, Neptune, Neo4j). • Lead the development and writing of ...

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Senior Specialist Graph Database information

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How much do senior specialist graph database jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for senior specialist graph database in the United States is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.42 per hour, depending on experience, location, and employer.

What is the difference between Senior Specialist Graph Database vs Data Engineer?

AspectSenior Specialist Graph DatabaseData Engineer
Required CredentialsDatabase certifications, SQL, NoSQL, graph database expertiseComputer science degree, SQL, ETL, cloud certifications
Work EnvironmentData teams, database administration, analytics projectsData pipelines, infrastructure, cloud platforms
Employer & Industry UsageTech, finance, e-commerce with graph data needsTech, finance, healthcare, big data environments
Search & Comparison IntentUnderstanding specialized graph database rolesBroader data infrastructure roles

The Senior Specialist Graph Database focuses on designing, maintaining, and optimizing graph databases for complex data relationships, often requiring specialized certifications. Data Engineers build and manage data pipelines and infrastructure, working across various data storage and processing systems. While both roles involve data management, the Senior Specialist Graph Database is more specialized in graph data structures, whereas Data Engineers have a broader scope in data architecture and pipeline development.

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What cities are hiring for Senior Specialist Graph Database jobs? Cities with the most Senior Specialist Graph Database job openings:
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Senior Specialist Graph Database jobs near you
Infographic showing various Senior Specialist Graph Database job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Senior Knowledge Graph Developer

United Airlines, Inc.

Chicago, IL • On-site

$124K - $161K/yr

Full-time

Posted 9 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 341 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
We are seeking an experienced and passionateSenior Knowledge Graph Developerto design, build, and scale our enterprise knowledge graph initiatives. In this role, you will be the technical lead responsible for transforming complex, siloed data into an interconnected, semantic knowledge layer. You will bridge the gap between data engineering, ontology design, and AI/ML applications, ensuring our knowledge graphs are performant, governed, and instrumental in powering our next-generation AI and analytics solutions.
Key Responsibilities
  • Architecture & Design:Design and implement scalable, enterprise-grade knowledge graph schemas using property graph (e.g., Neo4j, TigerGraph) and/or RDF-based models.

  • Ontology Engineering:Define and maintain formal ontologies, taxonomies, and semantic models that standardize business meaning and entity relationships across domains.

  • Data Integration & Pipeline Development:Lead the development of robust ETL/ELT pipelines to ingest, transform, and map heterogeneous data sources (RDBMS, NoSQL, APIs, unstructured text) into the knowledge graph.

  • Query & API Optimization:Develop, optimize, and maintain complex graph queries (Cypher, SPARQL, Gremlin). Design stable, high-performance APIs to expose graph data for downstream AI services and applications.

  • AI/ML Integration:Collaborate with data science teams to integrate the knowledge graph with LLMs, RAG (Retrieval-Augmented Generation) pipelines, graph embeddings, and other agentic frameworks to enhance reasoning and explainability.

  • Governance & Performance:Establish best practices for graph data quality, lineage, access control, and metadata management. Monitor graph performance and optimize indexing and traversal strategies for production environments.

  • Technical Leadership:Act as a subject matter expert and mentor for junior engineers. Drive adoption of graph technologies through documentation, code reviews, and community-of-practice contributions.

Qualifications
Required Qualifications
  • Experience:6-10+ years of software engineering or data architecture experience, with at least 4+ years dedicated to knowledge graph engineering, graph database development, or semantic web technologies.

  • Graph Technology Expertise:Proven hands-on experience with at least one major graph platform (e.g., Neo4j, AWS Neptune, Stardog, TigerGraph, GraphDB).

  • Query Languages:Deep proficiency in at least one graph query language (Cypher, SPARQL, or Gremlin).

  • Semantic Modeling:Strong understanding of RDF, OWL, RDFS, SKOS, and linked data principles.

  • Programming:Advanced proficiency in Python or Java for data processing, graph ingestion, and API development.

  • AI/ML Familiarity:Experience with or strong interest in graph-augmented AI, vector search, RAG, and large language model integration patterns.

  • Cloud & Infrastructure:Experience deploying and managing graph solutions in cloud environments (AWS, GCP, or Azure) using containerized workflows (Docker/Kubernetes).

Preferred Qualifications
  • Experience with ontology design tools like Protégé.

  • Knowledge of semantic validation frameworks such as SHACL or ShEx.

  • Experience working in a regulated industry with strict data governance, lineage, and PII requirements.

  • Proven track record of moving graph-based projects from PoC to production-scale enterprise capabilities.

What United Airlines employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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