The Apple Services Engineering team is seeking a Software Engineer to join their Analytics & Data Engineering team. This role focuses on building large-scale distributed data processing systems and analytical solutions using big data technologies. The ideal candidate will work collaboratively across disciplines and have a strong passion for data. Responsibilities include developing data pipelines and ensuring high performance and quality in data-driven processes.

• Bachelor's or Master's degree in Computer Science, Statistics, or a related quantitative field, or equivalent practical experience.
• 6+ years of experience building production systems using Java and/or Scala.
• Strong proficiency in Java and/or Scala for large-scale distributed data processing.
• Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka.
• Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP databases, Kubernetes, and Airflow.
• Strong data intuition, backed by solid SQL and data analysis skills.
• Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly.
• Excellent collaboration and communication skills.

• Develop large-scale data pipelines and analytical solutions using big data technologies.
• Collaborate with a small, highly collaborative team.
• Shape the team's future direction through significant responsibility and influence.
• Iterate quickly across all stages of the data pipeline lifecycle.
• Design, launch, and scale production-quality data pipelines that power product features.

• 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.