Role at a glance
- Salary
- $150.4K – $225.3K/yr
- Location
- Sunnyvale, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 3+ years experience in data analytics and/or data search space
- Education
- Bachelor's or Master's degree in Computer Science or a related work experience
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Role Summary
The Software Engineer, Data Analytics role on Apple's AI & Data Platform Data Services Analytics team focuses on building and operating data analytics and search capabilities at scale. The work supports data processing, migration, observability, and self-service across hybrid-cloud environments and technologies including OpenSearch, ClickHouse, Couchbase, Apache Doris, and Apache Milvus.
What You'll Do
- Build and run data processing platforms with monitoring, alerting, and incident management.
- Build working knowledge of data analytics and search concepts across OpenSearch, ClickHouse, Couchbase, Doris, Milvus, and related...
- Support performance engineering efforts, including profiling and tuning, under guidance from senior team members.
- Assist with service management across bare metal, virtualized, and containerized platforms.
- Execute and support data migration tasks across hybrid clouds, including validation and rollback support.
- Produce and maintain Runbooks, architecture diagrams, and migration playbook updates.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
3+ years of experience in data analytics and/or data search; Java or Python; production experience with Solar, Elastic Search, Iceberg, ClickHouse, Doris and/or Couchbase; automation tooling across datacenter and cloud architectures, including Alibaba Cloud and/or AWS.
Required
- 3+ years experience in data analytics and/or data search space
- Experience and knowledge of Java or Python programming languages
- Hands-on production experience with at least one of the following technologies: Solar, Elastic Search, Iceberg, ClickHouse, Doris and/or...
- Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba...
- Bachelor's or Master's degree in Computer Science or a related work experience
Preferred
- Some operational experience with stateful services on Kubernetes
- Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling
- Experience assisting with cross-cloud / hybrid-cloud data migrations for transactional systems
- Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for OLTP/distributed-SQL engines
- Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits
- Contributions to open-source database projects or internal data-platform tooling
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
Apple's AI & Data Platform (AiDP) Data Services organization is seeking a motivated Software Engineer, Data Analytics focused on providing data analytics and search services. Engineers on this team build data processing platforms and develop required tooling for Apple's most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
The AiDP Data Services Analytics team builds data analytics and search capabilities — provisioning, backup/restore, observability, and self-service — spanning OpenSearch, ClickHouse, SingleStore, Couchbase, Apache Doris, Apache Milvus, etc. This role involves supporting data processing and migration efforts across hybrid-cloud environments (On-Prem ↔ AWS ↔ AliCloud) following established Runbooks and adhering to local data residency and regulatory requirements (e.g., China's Cybersecurity Law and PIPL). This role requires good communication and collaboration with infrastructure teams and colleagues across a distributed team.
Responsibilities
Build and run data processing platforms with required monitoring, alerting, and incident management, achieving growing independence
Build working knowledge of data analytics and search concepts (distributed data processing, fast querying, consistency models) across OpenSearch, ClickHouse, Couchbase, Doris, Milvus, etc.
Support performance engineering efforts (profiling, tuning) under guidance from senior team members
Assist with service management across bare metal, virtualized (EC2, AliCloud ECS), and containerized (K8s) style platforms
Execute and support data migration tasks across hybrid clouds, including validation and rollback support
Build understanding of operating systems and datacenter architecture concepts relevant to transactional workloads
Produce and maintain clear documentation — Runbooks, architecture diagrams, and migration playbook updates
Support compliance with local data residency and regulatory requirements applicable to China-based infrastructure
Minimum Qualifications
3+ years experience in data analytics and/or data search space
Experience and knowledge of Java or Python programming languages
Hands-on production experience with at least one of the following technologies: Solar, Elastic Search, Iceberg, ClickHouse, Doris and/or Couchbase
Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba Cloud and/or AWS)
Bachelor's or Master's degree in Computer Science or a related work experience
Preferred Qualifications
Some operational experience with stateful services on Kubernetes
Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling
Experience assisting with cross-cloud / hybrid-cloud data migrations for transactional systems
Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for OLTP/distributed-SQL engines
Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits
Contributions to open-source database projects or internal data-platform tooling
Pay & Benefits — Sunnyvale, California, United States
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 $150,400 and $225,300, 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.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.