Job description

We are seeking an expert Neo4j Graph Database Engineer to design, develop, and optimize graph-based data models and applications that power sophisticated analytics and insights. The ideal candidate will have hands-on expertise with Neo4j, Cypher, and graph modeling, along with a strong understanding of data integration, performance tuning, and API-based access for enterprise-scale systems. 5+ years in data engineering, backend development, or database design, including 3+ years of hands-on work with Neo4j for graph modeling, Cypher queries, and performance tuning. Proficient in at least one programming language (Java, Python, or JavaScript) with strong knowledge of APIs, microservices, and data integration frameworks. Deep understanding of graph theory concepts (nodes, relationships, traversals, centrality) and familiarity with Neo4j Bloom, GraphQL for Neo4j, or the Graph Data Science (GDS) library. Proficient in data modeling, ETL pipeline development, and SQL/NoSQL databases. Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. Exposure to supply chain, product lifecycle, or recommendation systems. Experience with graph analytics, ML integrations, or knowledge graphs. Familiarity with Docker/Kubernetes, CI/CD, and infrastructure automation. Knowledge of data visualization tools (Power BI, Tableau, or custom dashboards).

Requirements

Must-haves

5+ years in data engineering, backend development, or database design, including 3+ years of hands-on work with Neo4j for graph modeling, Cypher queries, and performance tuning.
Proficient in at least one programming language (Java, Python, or JavaScript) with strong knowledge of APIs, microservices, and data integration frameworks.
Deep understanding of graph theory concepts (nodes, relationships, traversals, centrality) and familiarity with Neo4j Bloom, GraphQL for Neo4j, or the Graph Data Science (GDS) library.
Proficient in data modeling, ETL pipeline development, and SQL/NoSQL databases.
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
Exposure to supply chain, product lifecycle, or recommendation systems.
Experience with graph analytics, ML integrations, or knowledge graphs.
Familiarity with Docker/Kubernetes, CI/CD, and infrastructure automation.
Knowledge of data visualization tools (Power BI, Tableau, or custom dashboards).

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

apijavapythonjavascriptgraphqlsqlmldockerkubernetesci/cd

Platform: apple
Effort: medium