Job Description

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 the 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 are seeking a. hands-on senior data engineer with creative problem solving and collaborative approach to join the App Store Analytics engineering team focused on Advertising solutions to help drive app discoverability. In this role, you will be part of analytics team working with product, privacy, multi-functional engineering teams to drive creation of innovative privacy preserving solutions that deliver on Apple's privacy vision.

Description

You will be an individual contributor to implement the designs to a scalable, high quality observable set of pipelines and services. You will understand the data deeply and use that knowledge to help answer critical business questions as well as drive product design. You will be accountable for the quality, scalability and performance of the systems we build. You will lean into and pick up new technologies as driven by needs of the project. You will partner with program teams to plan and implement sprint goals. You will be part of a collaborative, encouraging team that will embrace challenges and value humility, integrity and dedication to each other's growth.

Preferred Qualifications

Knowledge of data privacy and compliance techniques such as anonymization, aggregation and segregation are highly desired.



Experience with data lineage systems, such as OpenLineage and Cypher.



Understanding of ads domain and regulatory environment is preferred.

Minimum Qualifications

Bachelors degree in Computer Science, Math, Statistics. Master's degree preferred.



10+ years of programming experience in Scala (preferred) or Java



Proven skills in designing scaleable, highly available distributed systems using Kafka, Iceberg, Kubernetes, Apache Spark, Flink, Airflow & Cassandra or similar technologies.



Strong quantitative and SQL skills.



Understanding of functional programming ideas and principles.



Self-directed, self-motivated and ability to create architecture and design documents.



Good understanding of software engineering principles and fundamentals including algorithms and data structures.



Ability to capture multi-functional requirements and translate them into practical engineering tasks.



Excellent communication skills and proven ability to work in a multi-functional environment.



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 .