Software Engineer, Big Data - Apple Services Engineering

Apple • Cupertino, CA

2d

About The Position

The Apple Services Engineering team is one of the most exciting examples of
Apple’s long-held passion for combining art and technology. This team powers the
App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at
massive scale and meeting Apple’s high standards for performance and quality to
deliver entertainment in over 35 languages across more than 150 countries. We
are seeking a Software Engineer to join Apple Services Engineering (ASE) who
brings a deep passion for building large-scale distributed data processing
systems, frameworks, and platforms using big data technologies.

DESCRIPTION

As a team member of the ASE Analytics & Data Engineering team, you will have
significant responsibility and influence in shaping the team’s future direction.
This role is inherently cross-functional, and the ideal candidate will work
closely across disciplines. We are looking for someone with a strong love for
data and the ability to iterate quickly across all stages of the data pipeline
lifecycle. This position involves working on a small, highly collaborative team
to develop large-scale data pipelines and analytical solutions using big data
technologies. Successful candidates will demonstrate strong engineering and
communication skills, along with a belief that data-driven processes lead to
exceptional products. You should have a passion for quality and an ability to
understand and evolve sophisticated systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience.
• 3+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms.
• Strong computer science fundamentals with proven problem-solving skills.
• Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka.
• Experience with big data ecosystem technologies such as HDSF, Hadoop, S3, MPP database, Kubernetes and Airflow.
• Proven track record of designing, launching, and scaling production-quality data pipelines that power product features.
• Strong data intuition, backed by solid SQL and data analysis skills.

Nice To Haves

• Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly.
• Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees