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Graph Jobs (NOW HIRING)

Graph Developer 3-4 days a week in NYC locals only Must have a bachelors from a US University Responsibilities * Design and development: Architect, design, and implement graph-based data models and ...

Tiger Graph Developer

Charlotte, NC · On-site

$65 - $68/hr

Graph database, Tiger Graph or Neo4j or Graph QL or Graph SQL The role: * TigerGraph Developer will work with a Cyber Crime Defense team to design, implement, and maintain graph database solutions ...

Graph Database Architect

Bellevue, WA · Remote

$65.25 - $84/hr

Graph Database Architect Location: Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database Architect to design, optimize, and implement scalable graph-based ...

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graph-driven SaaS solutions for enterprise ...

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

In this role, you will leverage knowledge graphs to connect financial data, design data models, and implement graph processing pipelines to enhance investment decision-making processes.

Graph Data Engineer

Denver, CO · On-site +1

$117K - $141K/yr

The role is for a Graph Data Engineer / SPARQL Developer, focusing on leveraging semantic web technologies and graph databases within a telecom network architecture context. This position involves ...

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graph-driven SaaS solutions for enterprise ...

Associate Partner and Partner

Washington, DC · On-site

$131K/yr

Partners at GRAPH have proven track records in expertly addressing their clients' most pressing business issues, serving as true trusted advisors. GRAPH partners embody the professional standards and ...

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

The role involves designing and implementing financial knowledge graph architectures, creating data processing pipelines, and championing graph-based solutions across the organization.

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graph-driven SaaS solutions for enterprise ...

USD 100'000-150'000 We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graphdriven SaaS ...

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities. * Define and implement best practices for knowledge graph ...

Data Engineer, Knowledge Graph

New York, NY

$125K - $150K/yr

Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities. * Define and implement best practices for knowledge graph ...

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How much do graph jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for graph in the United States is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.96 per hour, depending on experience, location, and employer.

How does a graph database engineer typically collaborate with data scientists and software developers in a project setting?

Graph Database Engineers often work closely with data scientists to design and optimize data models that support complex relationships and queries. They collaborate with software developers to integrate graph databases into applications, ensuring seamless data flow and performance. Regular meetings and code reviews help align database structures with business requirements and analytical goals. This cross-functional teamwork is essential for delivering scalable, high-performing solutions that leverage graph-based data.

What is a graph?

A Graph job typically refers to a position involving the analysis, visualization, or implementation of graph-based data structures and algorithms. This may include working with graph databases, network analysis, or machine learning applications that leverage graph theory. Common roles include Graph Data Scientist, Graph Engineer, or Network Analyst, often requiring expertise in tools like Neo4j, GraphQL, or NetworkX. These jobs are commonly found in industries such as social networks, cybersecurity, recommendation systems, and logistics.

What is the difference between Graph vs Data Analyst?

AspectGraphData Analyst
Required CredentialsTypically no formal degree, but knowledge of graph theory helpsBachelor's or higher in data science, statistics, or related fields
Work EnvironmentResearch, academia, or specialized tech rolesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in computer science, mathematics, and research projectsApplied in analyzing data trends, reporting, and decision-making

While a graph refers to a mathematical or visual representation of data, a Data Analyst is a professional who interprets data, often using graphs as tools. The Data Analyst's role involves analyzing data sets, creating visualizations, and providing insights, whereas a graph is a component or tool used within data analysis processes.

What are the key skills and qualifications needed to thrive as a graphic designer, and why are they important?

To thrive as a Graphic Designer, you need a strong foundation in design principles, creativity, and proficiency in visual communication, often supported by a degree in graphic design or a related field. Mastery of technical tools such as Adobe Creative Suite (Photoshop, Illustrator, InDesign) and knowledge of digital asset management systems are typically required. Excellent communication, time management, and collaboration skills help designers effectively convey ideas and work with clients or teams. These skills are essential to producing compelling visuals that meet client goals and stand out in a competitive creative industry.
More about Graph jobs
What cities are hiring for Graph jobs? Cities with the most Graph job openings:
What states have the most Graph jobs? States with the most job openings for Graph jobs include:
Infographic showing various Graph job openings in the United States as of July 2026, with employment types broken down into 63% Full Time, 34% Part Time, and 3% Contract. Highlights an 55% Physical, 3% Hybrid, and 42% Remote job distribution, with an average salary of $64,550 per year, or $31 per hour.

Graph Developer

Kanak Elite Services Inc

New York, NY • On-site

Contractor

Re-posted 10 days ago


Job description

Graph Developer

3-4 days a week in NYC locals only 

Must have a bachelors from a US University 

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. 
Feel free to reach me at gauravverma@kanakits.com