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

As of Aug 16, 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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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 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Senior Graph Database Developer

Long Finch Technologies

Glendale Heights, IL • Hybrid

Contractor

Posted yesterday

New

Job description

Job title: Senior Graph Database Developer

Work Location: Chicago, IL, 60606(Hybrid )

Duration: 6+ Months Contract
Experience Level: 10+ Years

Visa: Visa Independent Only

Job Description:
Must Have Skills
Amazon Neptune Graph Database, SPARQL
Data Engineering / ETL Pipelines
GraphRAG
Nice to have skills
Gen AI integration, Python  Backend API Development
Detailed Job Description
Education Bachelors or Masters degree in Computer Science, Data Science, Information Architecture, or a related field.
Graph Databases Extensive hands on experience designing and managing production scale instances of Amazon Neptune.
Graph languages, specifically Gremlin or SPARQL.
Programming Advanced production coding in Python or JVM environments Java, Scala.
Cloud Infrastructure Strong proficiency with AWS Services e.g., AWS S3, Amazon RDS, Amazon ECS
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Design enterprise ontologies, taxonomies, and graph schemas that reflect complex business structures.
Architect, configure, and scale Amazon Neptune database environments to handle billions of relationships.
Integrate knowledge graphs into GraphRAG pipelines to enhance contextual grounding and minimize AI hallucinations. Partner with AI teams to implement hybrid search architectures combining graph traversals with vector databases.

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