Data Engineer - AIML Evaluation

Apple • Seattle, WA

38d

About The Position

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