Neo4j Graph Database Engineer

Description : Role Overview :

We are seeking a Neo4j Graph Database Engineer to design, implement, and optimize graph-based data models for advanced copay analytics. This role will support anomaly detection, patient journey mapping, and provider-pharmacy influence analysis using Neo4j and Apache Spark at scale.

Key Responsibilities :

• Design and implement graph data models based on relational copay data, including entities like Patients, Transactions, Providers, and Pharmacies.
• Use the Neo4j Connector for Apache Spark to convert and batch-load large datasets into the graph.
• Optimize graph ingestion using UNWIND, MERGE, and APOC procedures.
• Implement graph algorithms (PageRank, Degree Centrality, Community Detection, etc.) for insights and anomaly detection.
• Enable real-time data updates and alerting mechanisms for live copay activity using Neo4j triggers or streaming tools.
• Collaborate with data scientists to support Graph ML / AI model development (e.g., GNN, One-Class SVM).
• Visualize graph data using Neo4j Bloom to enable intuitive insights for business stakeholders.
• Document infrastructure, modeling, and ETL processes in Confluence.

Must-Have Skills :

(ref : hirist.tech)