Data Analytics Engineer

Apple invites a Data Analytics Engineer to join the Apple Games App Data Engineering team in Cupertino, CA, onsite, to develop analytics solutions and derive insights from large-scale gaming data with emphasis on privacy, scalability, and collaboration with developers and partners.

Responsibilities

• In this role within the Apple Games App Data Engineering group, you will help steer the team's strategic priorities.
• This position centers on software engineering.
• We develop robust production-grade software rather than ad hoc scripts.
• Our systems process dozens of terabytes of gaming and player engagement data daily.
• Solutions must be efficient, scalable, and reliable.
• Data is the primary product and central concern of our work.
• We value accurate, high-quality data as much as we value clean, maintainable code.
• The insights generated support Apple leadership and game developers with understanding player behavior, tracking innovations, and identifying future gaming trends.
• You will contribute to building analytics solutions tailored for game developers, leveraging experience with the third-party gaming analytics ecosystem to create leading tools.
• Success here requires championing world-class analytical capabilities.
• As a team member, your ideas, concerns, and viewpoints are welcomed in collaborative discussions.
• Our culture is highly collaborative.
• You will work closely with engineering, product, and partner teams.
• Privacy is a core engineering requirement and our solutions are designed to align with Apple privacy principles from the outset.
• The team is compact and focused, with engineers addressing a broad range of problems.

Requirements

• Strong foundation in software engineering principles, including algorithms and data structures.
• Self-driven, motivated, with the ability to produce architecture and design documents.
• Ability to translate cross-functional requirements into concrete engineering tasks.
• Excellent communication skills and demonstrated experience working across functional teams.
• Bachelor's degree in Computer Science, Engineering, or an equivalent combination of education and experience.
• Experience building analytics and data solutions targeted at game developers.
• Familiarity with third-party analytics tools and platforms used in the gaming industry.
• More than five years of hands-on experience building distributed data processing applications with Apache Spark or Apache Flink.
• More than five years of programming experience in Scala (preferred) or Java.
• Experience with big data technologies including Hadoop, HDFS, Spark, SQL, and Kafka.
• Proven ability to design scalable, highly available distributed systems using Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.

Technologies

• Apache Spark
• Apache Flink
• Scala
• Java
• Hadoop
• HDFS
• Spark
• SQL
• Kafka
• Iceberg
• Kubernetes
• Airflow
• Cassandra

Compensation

Base pay range: USD 147,400 - 272,100 per year. This range depends on skills, qualifications, experience, and location.

Benefits

• Discretionary employee stock programs, including RSUs.
• Employee Stock Purchase Plan allowing purchase of Apple stock at a discount.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• A range of discounted products and free services.
• Educational expense reimbursement, including tuition.
• Discretionary bonuses or commission payments.
• Relocation eligibility.