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Senior Specialist Graph Database Jobs (NOW HIRING)

... Senior Developer level with Neo4j. • Strong expertise in Neo4j Graph Database, including: Cypher queries, Graph Data Science, Data ingestion, Query performance tuning (indexes, modeling ...

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong ... specialists. * We seek candidates with a methodical approach to solving complex data modeling and ...

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong ... specialists. * We seek candidates with a methodical approach to solving complex data modeling and ...

They are seeking a highly motivated Senior Database Engineer to work within a Production Operations ... Familiarity with Graph database technology • Data modeling experience Company : Peraton ...

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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 Jul 27, 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.

More about Senior Specialist Graph Database jobs
What cities are hiring for Senior Specialist Graph Database jobs? Cities with the most Senior Specialist Graph Database job openings:
What states have the most Senior Specialist Graph Database jobs? States with the most job openings for Senior Specialist Graph Database jobs include:
What job categories do people searching Senior Specialist Graph Database jobs look for? The top searched job categories for Senior Specialist Graph Database jobs are:
Infographic showing various Senior Specialist Graph Database job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Hybrid :: Graph Developer :: NYC, NY :: Long Term

Kanak Elite Services Inc

New York, NY • On-site

Contractor

Posted 5 days ago


Job description

Hello There,

My name is Amit Kumar, and I serve as the Sr. Technical Recruiter at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Graph Developer” with our esteemed client. If you are interested then please share your updated resume at Amitkumar@kanakits.com .

Job Title: Graph Developer
Location: Hybrid, NYC, NY

Duration: Long Term Consulting Opportunity
 

Note: Must Have Bachelor’s Degree from USA


Job Description:
Responsibilities

  • Design and development: Architect, design, and implement graph-based data models and solutions.
  • Query optimization: Develop and optimize efficient graph queries using languages like Cypher, Gremlin, or SPARQL.
  • Data integration: Build and maintain data pipelines to load, transform, and integrate data from various sources into the graph database.
  • Performance and scalability: Ensure the graph database and related applications are scalable, performant, and secure.
  • Collaboration: Work with stakeholders and cross-functional teams (like data scientists, analysts, and other engineers) to define use cases and translate requirements into technical solutions.
  • Application development: Build applications or APIs that leverage the graph database for relationship analysis, recommendation engines, fraud detection, or other use cases.
  • Mentorship: Provide guidance and mentor junior developers on graph best practices.
  • Documentation: Create and maintain documentation for graph schemas, queries, and architectures.

Required skills and experience

  • Hands-on experience with graph databases (e.g., Neo4j, Amazon Neptune).
  • Proficiency in graph query languages (e.g., Cypher, Gremlin, SPARQL).
  • Strong programming skills in languages in Java and Python
  • Heavy financial experience
  • Familiarity with data modeling principles for connected data.
  • Experience with ETL processes and data ingestion.
  • Knowledge of cloud platforms like AWS is often a plus.
  • Understanding of data structures and algorithms, particularly related to graph theory.
  • Excellent communication and collaboration skills.
  • Financial experience