Amazon Web Services (AWS), Apache Kafka, Application Programming Interface (API), Background Investigation, Cloud Computing, Create Graphs, Data Management, Data Science, Database Extract Transform and Load (ETL), Database Programming, Database Programming Languages, GCP (Good Clinical Practices), GraphQL, High Availability, Information/Data Security (InfoSec), Java, Microsoft Windows Azure, Neo4j, Node.js, Ontology, Performance Tuning/Optimization, Professional Services, Python Programming/Scripting Language, REST (Representational State Transfer), Test Plan/Schedule
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- 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 ResponsibilitiesAs 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.
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No