Overview
On Site
Full Time
Skills
Innovation
Management
Analytics
Artificial Intelligence
Lifecycle Management
Backup Administration
Disaster Recovery
Regulatory Compliance
Engineering Design
Storage Engineering
Scalability
Data Centers
Computer Science
Information Systems
Database
Python
Java
JavaScript
Data Integration
Application Development
Neo4j
Amazon Neptune
ArangoDB
Data Modeling
Graph Theory
Extract
Transform
Load
API
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Graph Databases
Resource Description Framework
SPARQL
Semantic Web
Big Data
Apache Spark
Apache Kafka
Data Processing
Version Control
Git
Continuous Integration
Continuous Delivery
Workflow
Job Details
The people here at Apple don't just build products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Come join the team that builds the data assets for Apple's products and services. AiDP - Data Services within Apple designs, deploys, and maintains the systems that store and manage business-critical data. We ensure databases are secure, highly available, and optimized for performance. Our team supports application, analytics, and AI workloads by providing reliable data access as well as lifecycle management, backups, disaster recovery, security, and compliance. We are looking for passionate and dedicated Graph database professionals to join our AiDP - Data Services Engineering team.
Description Our AiDP - Data Services team invites passionate Graph Database Engineers to join us in shaping the future of graph technologies that power some of Apple's most important services. Our engineers design, build, and operate large-scale graph database systems that enable deep insights into highly connected data across different domains. You will be joining a team of experts working on modern graph database platforms, distributed systems, and storage engineering, pushing the boundaries of performance, scalability, and availability for graph workloads at Apple. Your work will help unlock new capabilities deployed at massive scale across our global data centers and public clouds, impacting the experiences of millions of Apple users every day.
Minimum Qualifications
Preferred Qualifications
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 .
Description Our AiDP - Data Services team invites passionate Graph Database Engineers to join us in shaping the future of graph technologies that power some of Apple's most important services. Our engineers design, build, and operate large-scale graph database systems that enable deep insights into highly connected data across different domains. You will be joining a team of experts working on modern graph database platforms, distributed systems, and storage engineering, pushing the boundaries of performance, scalability, and availability for graph workloads at Apple. Your work will help unlock new capabilities deployed at massive scale across our global data centers and public clouds, impacting the experiences of millions of Apple users every day.
Minimum Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field or equivalent practical experience
- 2+ years of hands-on database engineering experience, with at least 2 years working directly with graph databases
- Strong proficiency in at least one graph query language: such as Cypher, Gremlin, GSQL
Preferred Qualifications
- Proficiency in at least one programming language (Python, Java, or JavaScript) for data integration and application development
- Experience with graph database platforms such as Neo4j, Amazon Neptune, TigerGraph, JanusGraph, or ArangoDB
- Solid understanding of data modeling concepts, graph theory basics, and relationship-driven architectures
- Familiarity with ETL processes, API integrations, or data ingestion frameworks
- Knowledge of cloud services (AWS, Azure, Google Cloud Platform) and managed graph database offerings
- Understanding of RDF, SPARQL, or semantic web technologies
- Exposure to big data ecosystems (Spark, Kafka) for graph data processing
- Experience with version control systems (Git) and CI/CD workflows
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 .
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.