About the role

Aplyr's Quick Take

This role is for a Data Engineer focused on building and maintaining the data infrastructure for Apple's A/B experimentation platform. You'll be responsible for creating data pipelines, models, and dashboards to support data-driven decision-making across teams. It's a hands-on role that requires both technical skills and collaboration with various teams.

Good fit

Ideal candidates have a Master's degree in a related field and at least 4 years of experience in data engineering. You should be comfortable working independently while also engaging with cross-functional teams, and have strong skills in Python and SQL.

Worth noting

The role emphasizes treating data as a product, which suggests a user-centric approach to data engineering. The position is within a high-impact team at Apple, which may offer significant visibility and influence within the company.

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.

Skills & Tags

ai data

Aplyr's read

Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
Synthesized from recent postings & public sources

What's promising

•Apple consistently leads in tech innovation with a strong focus on design and user experience.
•The company's global brand recognition offers employees a prestigious platform for career growth.
•Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.

What to watch

•High-pressure work environment with demanding deadlines can impact work-life balance.
•Apple's secretive culture may limit transparency and cross-departmental communication.
•Dependence on hardware sales makes the company vulnerable to market saturation risks.

Why Apple

•Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
•The company has a unique retail presence with its own stores enhancing customer experience.
•Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Apple

Apple

apple.com

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AAPL$298.01+0.70%

Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.