Data Engineer - AIML Evaluation

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.","responsibilities":"Design, build, and maintain scalable data pipelines to support A/B experimentation workflows across Apple teams.

Architect and manage data models and database schemas that enable complex analytical queries and statistical reporting.

Develop data-driven features and statistical insights that enhance the capabilities of the experimentation platform.

Build and maintain dashboards and data visualizations to surface experimentation metrics and operational health.

Engage directly with internal customers to gather requirements, support experiment execution, and validate delivered solutions.

Ensure data quality, reliability, and observability across all analytics pipelines and platform systems.

Contribute to a collaborative team environment, balancing independent project ownership with close partnership across the analytics and platform teams.

Do you have experience in Scalable systems?, Do you have a Master's degree?, 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.

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.","internalDetails":null

4.14.1 out of 5 stars 2651 NE 49th St, Seattle, WA 98105 $139,500 - $258,100 a year, Pulled from the full job description

• Employee stock purchase plan
• Health insurance
• Retirement plan
• Dental insurance
• RSU, At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.