Software Engineer (Graph), Supply Chain Integration

Sunnyvale, CA, US • Posted 60+ days ago • Updated 8 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Innovation
  • Pivotal
  • Supply Chain Planning
  • Demand Planning
  • Distribution
  • Collaboration
  • Business Process
  • Graph Databases
  • API
  • Data Engineering
  • Backend Development
  • Database Design
  • Modeling
  • Performance Tuning
  • Java
  • Python
  • JavaScript
  • Microservices
  • Data Integration
  • Graph Theory
  • GraphQL
  • Neo4j
  • Data Science
  • Data Modeling
  • Extract
  • Transform
  • Load
  • SQL
  • NoSQL
  • Database
  • Computer Science
  • Information Systems
  • Supply Chain Management
  • Analytics
  • Machine Learning (ML)
  • Docker
  • Kubernetes
  • Continuous Integration
  • Continuous Delivery
  • Data Visualization
  • Microsoft Power BI
  • Tableau
  • Dashboard

Summary

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.\\n\\nAs 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.

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.\nProficient in at least one programming language (Java, Python, or JavaScript) with strong knowledge of APIs, microservices, and data integration frameworks.\nDeep understanding of graph theory concepts (nodes, relationships, traversals, centrality) and familiarity with Neo4j Bloom, GraphQL for Neo4j, or the Graph Data Science (GDS) library.\nProficient in data modeling, ETL pipeline development, and SQL/NoSQL databases.\nBachelor's or Master's degree in Computer Science, Information Systems, or related field.

Exposure to supply chain, product lifecycle, or recommendation systems.\nExperience with graph analytics, ML integrations, or knowledge graphs.\nFamiliarity with Docker/Kubernetes, CI/CD, and infrastructure automation.\nKnowledge of data visualization tools (Power BI, Tableau, or custom dashboards).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 9ea1b4d3e6ac041b852dfe13907feeac
  • Posted 30+ days ago
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