Data Engineer - AIML Evaluation

Apple • Seattle, WA

1d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees