Graph Database Developer Presystem

About the Role

Client is seeking an experienced high-caliber Graph Developer to join our team for a high-impact 12-month 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.

• Role: Graph Database Developer (Contractor)
• Duration: 12 Months
• Location: Remote (Within the USA)
• Interview Timeline: Interviews will take place by the middle of next week. Apply urgently.

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.

• 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 .
• Integration Patterns: Familiarity with A2A protocols and agent-based integration patterns.
• Data Governance: Strong understanding of data governance practices and data security standards.

• 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.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No