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Graph Jobs (NOW HIRING)

Point72

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 ...

Point72

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 ...

Veeam Software

Sr. Director, Graph Databases

San Jose, CA · On-site

$296K/yr

Guide the evolution of the graph schema for data sources, identities, access, classifications, and lineage (property graph and/or RDF) using Amazon Neptune and/or Neo4j * Own the strategy for ...

NewsBreak

Local POI Knowledge Graph

Mountain View, CA · On-site

$142K - $342K/yr

You will build our local knowledge graph: the POI and places-data systems, entity resolution, and ontologies that turn fragmented, multi-source business data into a clean, queryable graph. If you ...

NewsBreak

Local POI Knowledge Graph

Mountain View, CA

$142K/yr

You will build our local knowledge graph: the POI and places-data systems, entity resolution, and ontologies that turn fragmented, multi-source business data into a clean, queryable graph. If you ...

ADDSOURCE

Knowledge Graph Engineer

Charlotte, NC · On-site

Knowledge Graph Engineer Location: Hybrid role for the US PA Area, Dallas, Charolette NC, can also be in NJ but would need to travel to PA. Looking for an experienced data engineers with ontology ...

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How much do graph jobs pay per hour?

As of Jul 15, 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 job?

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 Graph jobs?

Graph jobs typically refer to roles that involve working with graph data structures, graph databases, or graph theory. These jobs can include positions such as data scientists, software engineers, or researchers who analyze relationships between data points, model complex networks, or optimize algorithms for graph traversal. Graph jobs are commonly found in industries like technology, finance, telecommunications, and social media, where understanding connections and networks is crucial. Professionals in these roles often use tools such as Neo4j, GraphQL, or NetworkX to handle and analyze graph data. A strong background in mathematics, computer science, or data analysis is often required.

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:
What job categories do people searching Graph jobs look for? The top searched job categories for Graph jobs are:
Graph jobs near you
Infographic showing various Graph job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 30% Part Time, and 2% Contract. Highlights an 60% Physical, 2% Hybrid, and 38% Remote job distribution, with an average salary of $64,550 per year, or $31 per hour.

Tiger Graph Developer

Cloud think technologies LLC

Sunnyvale, CA • On-site

Contractor

Posted 20 days ago

Job description

JD Key Responsibilities:

· Graph Modeling & Design:

o Design logical and physical graph schemas using GSQL based on domain requirements.

o Optimize graph data models for query efficiency and scalability.

· TigerGraph Development:

o Develop and maintain GSQL queries, loading jobs, and custom functions.

o Implement TigerGraph’s REST endpoints and integrate with internal/external systems via APIs or streaming platforms.

· Data Pipeline Integration:

o Build pipelines to ingest data from sources like RDBMS, NoSQL, Kafka, or cloud storage (e.g., S3, GCS) into TigerGraph.

o Collaborate with data engineering to ensure high throughput, low-latency data ingestion.

· Performance Tuning & Monitoring:

o Analyze and optimize query performance using profiling tools and TigerGraph monitoring interfaces.

o Conduct regular health checks, index tuning, and memory optimization for high-scale environments.