Software Engineer (Graph), Supply Chain Integration

At Apple, new ideas quickly transform into groundbreaking products, services, and customer experiences. Bring passion and dedication to your work, and there's no telling what can be accomplished.

As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple's Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal stakeholders to define and implement solutions that optimize Apple's internal business processes. 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.Design and implement graph data models and relationship-based schemas using Neo4j. Develop and optimize Cypher queries for high-performance data access and analysis. Integrate Neo4j with Java, Spring Boot, Python, or Node.js applications. Build data pipelines to ingest, transform, and sync data between Neo4j and other systems (e.g., SQL, Kafka, Spark). Collaborate with product, data science, and engineering teams to translate business problems into graph solutions. Implement data visualization and relationship analytics using Neo4j Bloom or Graph Data Science (GDS) library. Ensure data quality, consistency, and performance optimization across graph datasets. Support system scaling, backup/recovery, and deployment automation for Neo4j environments. Contribute to architecture design reviews, best practices, and documentation.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).