Software Engineer (Graph), Supply Chain Integration
Apple - Sunnyvale, United States of America
Posted Feb 9, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer (Graph), Supply Chain Integration Sunnyvale, United States of America 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
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