Job title : Graph Database Developer

Duration: 12 months

Location: Remote from any location withing the USA

Visa : GC , GC EAD , H4 EAD USC

We need an experienced Graph Developer to design, build, and maintain a production-grade Neo4j graph database — from schema architecture through data hydration pipelines to the consumption layer. Responsibilities will include developing, testing and deploying a graph platform, including architecting and modeling graph schemas optimized for traversal performance, designing and operating ETL/ELT pipelines to hydrate the graph from source systems, and building REST/GraphQL API endpoints alongside A2A endpoints to support agent orchestration workflows.

Required skills include strong hands-on Neo4j and Cypher experience, a proven track record hydrating graph databases at scale, and solid backend proficiency in Python, Java, or Node.js.

Familiarity with A2A protocols, agent-based integration patterns, and data governance practices is essential.

Exposure to Neo4j Graph Data Science, knowledge graph or ontology design, event streaming tools like Kafka, LLM/RAG integrations with graph context, or cloud-native deployments on AWS, GCP, or Azure is also desired.

Job Description

About the Role

Client is seeking an experienced, high-caliber Graph Developer to join our team for a high-impact, 12-month contract. In this role, you will be responsible for the end-to-end lifecycle of a production-grade Neo4j graph database—spanning from initial schema architecture and data hydration pipelines to the final consumption layer.

This is an incredible opportunity to work on cutting-edge agent orchestration workflows and modern data architectures within a global leading professional services firm.

Position Overview

Key Responsibilities

As a Graph Developer, you will design, build, and maintain our production-grade graph platforms. Your day-to-day responsibilities will include:

• Architecture & Modeling: Architect and model graph schemas specifically optimized for high-performance traversal and query efficiency.
• Data Hydration: Design, build, and operate robust ETL/ELT pipelines to efficiently hydrate the graph database from various upstream source systems at scale.
• API & Integration: Develop REST and GraphQL API endpoints, alongside Application-to-Application (A2A) endpoints, to seamlessly support agent orchestration workflows.
• Deployment & Testing: Develop, test, and deploy the end-to-end graph platform, ensuring high availability, security, and performance.

Required Skills & Qualifications

• Graph Expertise: Strong, hands-on experience with Neo4j and Cypher query language. Experience with Google Cloud Spanner is highly valued.
• Data Engineering: A proven track record of hydrating graph databases at scale using advanced ETL/ELT methodologies.
• Backend Development: Solid backend proficiency in at least one of the following languages: Python, Java, or Node.js.
• Integration Patterns: Familiarity with A2A protocols and agent-based integration patterns.
• Data Governance: Strong understanding of data governance practices and data security standards.

Preferred & Desired Skills

• Experience with Neo4j Graph Data Science (GDS).
• Knowledge of advanced knowledge graphs or ontology design.
• Familiarity with event streaming tools (e.g., Apache Kafka).
• Experience with LLM / RAG (Retrieval-Augmented Generation) integrations leveraging graph context.
• Experience with cloud-native deployments on AWS, GCP, or Azure.

Job Responsibilities

As a Graph Developer, you will design, build, and maintain our production-grade graph platforms. Your day-to-day responsibilities will include:

• Architecture & Modeling: Architect and model graph schemas specifically optimized for high-performance traversal and query efficiency.
• Data Hydration: Design, build, and operate robust ETL/ELT pipelines to efficiently hydrate the graph database from various upstream source systems at scale.
• API & Integration: Develop REST and GraphQL API endpoints, alongside Application-to-Application (A2A) endpoints, to seamlessly support agent orchestration workflows.
• Deployment & Testing: Develop, test, and deploy the end-to-end graph platform, ensuring high availability, security, and performance.