Description

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.

Responsibilities

• 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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).

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .