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 theres no telling what can be part of the Supply Chain Innovation team you will play a pivotal role in building end-to-end best-in-class software solutions for Apples 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 Apples 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 and optimize Cypher queries for high-performance data access and Neo4j with Java Spring Boot Python or data pipelines to ingest transform and sync data between Neo4j and other systems (e.g. SQL Kafka Spark).nCollaborate with product data science and engineering teams to translate business problems into graph data visualization and relationship analytics using Neo4j Bloom or Graph Data Science (GDS) data quality consistency and performance optimization across graph system scaling backup/recovery and deployment automation for Neo4j 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 in at least one programming language (Java Python or JavaScript) with strong knowledge of APIs microservices and data integration understanding of graph theory concepts (nodes relationships traversals centrality) and familiarity with Neo4j Bloom GraphQL for Neo4j or the Graph Data Science (GDS) in data modeling ETL pipeline development and SQL/NoSQL or Masters degree in Computer Science Information Systems or related field.

Exposure to supply chain product lifecycle or recommendation with graph analytics ML integrations or knowledge with Docker/Kubernetes CI/CD and infrastructure of data visualization tools (Power BI Tableau or custom dashboards).