Apple is seeking an experienced Engineering Manager to lead the Analytics Commerce area for Apple Media Products. This role focuses on developing large-scale Data Pipelines and Analytical solutions using Big Data technologies. The ideal candidate will work across disciplines and collaborate with engineers, project managers, and analytics teams. The position requires a passion for data and a commitment to improving customer experience and business outcomes.

• Bachelor's or Master's degree in Computer Science or a related field.
• 7+ years of experience in Software Engineering, with at least 2 years as an Engineering Manager.
• 2+ years of experience working with Commerce and Analytics data.
• Experience working with PII and GDPR data.
• Experience in hiring, growing, and mentoring high-performing teams.
• Proficiency in distributed data processing using Big Data technologies like Spark, Scala, Java, Flink, Hadoop, Cassandra, and Kafka.
• Proficiency in data modeling, data design, SQL, and NoSQL databases.
• Excellent interpersonal skills and the ability to communicate effectively with technical and non-technical partners.

• Lead the Analytics Commerce team in developing data-driven solutions.
• Hire and mentor small engineering teams to enhance performance.
• Collaborate with Data Engineers, Engineering Managers, and Analytics teams on new data pipelines.
• Create batch and streaming solutions using state-of-the-art technologies.
• Ensure high-quality results while working in a dynamic and fast-paced environment.

• 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.