Job Details

Role Number: 200653246-3337

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something.

The Experimentation Platform team is looking for a Data Engineer to power the analytics backbone of one of Apple's most impactful internal platforms. Our A/B experimentation platform serves teams across Apple, enabling them to make rigorous, data-driven decisions at scale. As part of the analytics team, you will sit at the intersection of data engineering, statistical insight, and product impact — building the pipelines and tools that help Apple teams run better experiments and ship better features and next-generation GenAI products.

Description

As a Data Engineer on the Experimentation Platform team, you will take end-to-end ownership of the data infrastructure that drives experimentation across Apple. From architecting robust pipelines and data models to delivering dashboards and data-driven features, your work will directly shape how Apple teams measure, iterate, and innovate.

This role blends autonomous, heads-down engineering with meaningful cross-functional collaboration. You will partner closely with teams across Apple — gathering requirements, supporting experiment execution, and signing off on delivered solutions together. We are looking for someone who treats data as a product: someone who is as thoughtful about the teams consuming their work as the systems producing it.

Minimum Qualifications

• Master's degree in Computer Science, Data Engineering, or a related field, or equivalent experience.

• 4+ years of professional experience in data engineering or a closely related role.

• Strong proficiency in Python and advanced SQL.

• Solid understanding of data modeling, database schema design, and data warehousing concepts.

• Experience with large-scale distributed data processing and pipeline using frameworks such as Apache Spark.

• Experience with workflow orchestration tools such as Apache Airflow.

• Experience with deploying and managing CI/CD pipelines.

• Experience building data visualizations using tools such as Apache Superset or equivalent.

Preferred Qualifications

• Experience with A/B testing methodologies, statistical analysis, or experimentation platforms.

• Working knowledge of Trino, Iceberg.

• Experience with API server development and building RESTful services (e.g., Java with Spring Boot).

• Experience with streaming technologies such as Apache Kafka or Apache Flink.

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .