JobsSenior Data Engineer â Music Services Operations Analytics & Strategy
Senior Data Engineer â Music Services Operations Analytics & Strategy
AppleSenior Data Engineer â Music Services Operations Analytics & Strategy
AppleLocation
Cupertino, CA
Type
Full-time
Posted
6/12/2026
Compensation
Not listed
Undergraduate with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025Job description
The Senior Data Engineer will be part of the Music Services Operations Analytics & Strategy team, responsible for architecting and deploying AI-ready data pipelines that support Apple's media services. This role requires a blend of systems engineering expertise and strong business collaboration to manage complex data environments. The ideal candidate will have extensive experience in data engineering at scale, focusing on delivering actionable insights across Music, Video, and Books. A strategic mindset and innovative approach to data architecture are essential for success in this position.
Requirements
- 7+ years of professional experience in data engineering or systems architecture.
- Advanced proficiency in Python and SQL.
- Expertise in distributed data processing frameworks such as PySpark/Spark.
- Extensive hands-on experience designing and operating CI/CD pipelines.
- Proven expertise in data quality management and anomaly detection.
- Bachelor's Degree in Computer Science, Data Engineering, or a related technical field.
- Experience leveraging AI-enabled tools and workflows within data engineering contexts.
- Deep familiarity with open table formats like Apache Iceberg and Delta Lake.
- Demonstrated expertise implementing data privacy frameworks compliant with global regulations.
Responsibilities
- Architect and deploy robust data pipelines for analytics capabilities.
- Lead projects and influence cross-functional teams to drive consensus.
- Design and operate automated deployment workflows and version-controlled data infrastructure.
- Implement programmatic anomaly detection on high-volume datasets.
- Translate stakeholder needs into scalable technical solutions.
- Mentor peers and promote a culture of data engineering excellence.
- Engineer creative solutions using AI-driven technologies and intelligent automation.
- Translate complex data into clear insights for business audiences.
Benefits
- Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.
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