Data Analytics Engineer - Apple Services Engineering
Apple's App Store is the world's largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started.
We're seeking a highly skilled Software Data Engineer to join the App Store Data organization. In this role, you will help shape the next generation of App Store insights and data products by building scalable, privacy-forward data pipelines, analytical solutions, and actionable insights. Our team enables data-driven innovation for external partners, while maintaining data quality, privacy, and engineering excellence as first-class citizens.
Our teams remain small, highly collaborative, and cross-functional, providing deep ownership and broad exposure to impactful opportunities.
Description
As a member of the App Store Data team, you will play a key role in building large-scale distributed data systems.
This is a software engineering role with strong analytics responsibilities. We build robust, production-quality code and process petabytes of data daily.
Data is our core product, and we care deeply about its correctness, semantics, lineage, and usability.","responsibilities":"In this role, you will:
Design, build, and maintain efficient, scalable, and reliable data pipelines using Spark, Flink, or similar distributed systems.
Implement service layer components that encapsulate business logic and expose data products to downstream clients.
Develop high-quality software in Scala, Python, or Java following best practices (code reviews, testing, CI/CD).
Manage real-time and batch data systems across technologies such as Hadoop, Iceberg, Kafka, Airflow, and Kubernetes.
Conduct exploratory analysis and help define KPIs, metrics, and data quality standards.
Work closely with engineering, product, privacy, compliance, and other internal partners to design new features and data products.
Partner with SRE teams to monitor, troubleshoot, and optimize large-scale production workloads.
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Review code, mentor teammates, and contribute to a collaborative and inclusive engineering culture.
Preferred Qualifications
Familiarity with functional programming concepts.
Understanding of emerging AI/ML techniques and their application to large-scale analytics.
Experience working in data privacy, trust & safety, compliance, or governance domains.
Skilled in writing design documents and technical specifications for new data products.
Minimum Qualifications
5+ years of experience in data engineering, analytics engineering, software data engineering, or similar roles.
Experience building and maintaining service layer applications, including data access patterns and integration with backend data systems.
Strong programming skills in Scala or Java.
Expert-level proficiency with SQL and advanced data manipulation techniques.
Hands-on experience with big-data technologies (Hadoop/HDFS, Spark/Flink, Kafka, Airflow, Iceberg, or related tools).
Proven track record building scalable, production-quality distributed data pipelines.
Deep understanding of computer science fundamentals-algorithms, data structures, complexity.
Excellent communication skills and ability to work in a highly cross-functional environment.
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Business Information Systems, or other quantitative degree.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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