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
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.
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).