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Graph Data Engineer Jobs (NOW HIRING)

Citizens

Principal Data Engineer - Neo4J

Austin, TX · On-site

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Citizens

Principal Data Engineer - Neo4J

Phoenix, AZ · On-site

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Citizens

Principal Data Engineer - Neo4J

Austin, TX · On-site

Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives and goals ...

Citizens

Principal Data Engineer - Neo4J

Phoenix, AZ · On-site

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

We appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists. * We seek candidates with a methodical approach to solving complex data modeling and ...

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Showing results 21-40

All JobsGraph Data Engineer Jobs

Graph Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do graph data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for graph data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Graph Data Engineer vs Data Scientist?

AspectGraph Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentData engineering teams, cloud platforms, big data toolsResearch teams, analytics platforms, machine learning environments
Industry UsageTech, finance, e-commerce, where graph databases are usedHealthcare, marketing, finance, focusing on data analysis and modeling

The main difference is that Graph Data Engineers focus on building and maintaining graph databases and pipelines, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their core responsibilities differ in data infrastructure versus data analysis.

What is a graph data engineer?

A graph data engineer designs, develops, and maintains systems that store and process data using graph databases and graph processing techniques. They work with tools like Neo4j, Apache TinkerPop, or JanusGraph and often require knowledge of graph algorithms, data modeling, and query languages such as Cypher or Gremlin.

What cities are hiring for Graph Data Engineer jobs?

Cities with the most Graph Data Engineer job openings:

What states have the most Graph Data Engineer jobs?

States with the most job openings for Graph Data Engineer jobs include:

What are popular job titles related to Graph Data Engineer jobs?

For Graph Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Graph Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Graph Data Scientist

Charlotte, NC • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

Full-time

Re-posted 21 days ago

Job description

Job Title: Graph Data Scientist
Location: Charlotte, NC (Day 1 Onsite)
Job Type: Contract
Experience: Mid-Senior level
Job Overview
Our client is looking for a highly skilled Graph Data Scientist to design and develop graph-based analytical solutions leveraging Neo4j/TigerGraph and advanced data science techniques. The role will focus on building knowledge graphs, detecting complex patterns, and enabling AI-driven insights across enterprise use cases.
Key Responsibilities
  • Design and develop graph data models using Neo4j or TigerGraph
  • Build and manage knowledge graphs for enterprise use cases including fraud detection, relationship mapping, and pattern discovery
  • Apply data science and ML techniques to extract actionable insights from graph data
  • Develop and optimize graph algorithms (pathfinding, centrality, clustering, anomaly detection)
  • Integrate graph platforms with Gen AI / LLM-based systems for intelligent decision-making
  • Collaborate with engineering and AI teams to embed graph insights into production applications
Required Skills
  • Strong hands-on experience with Neo4j, TigerGraph, or similar graph databases
  • Solid background in data science: Python, Pandas, Scikit-learn, PyTorch / TensorFlow
  • Experience in graph algorithms and network analysis
  • Hands-on with data modeling, ETL, and large-scale data processing
  • Understanding of Gen AI / LLM integration with structured data systems
Preferred Skills
  • Experience with knowledge graphs and semantic data models
  • Exposure to hybrid architectures combining graph databases with AI systems
Location & Work Model
Charlotte, NC - Onsite from Day 1. Candidates must be willing and able to work on-site immediately.
Engagement Details
Contract engagement. Two openings available. Immediate start preferred.

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