At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.

The Ad Platforms Data Products Engineering team is seeking a senior data engineer to join in developing the next generation of data products and analytical solutions built to empower Algo, Product, Data Insights, Sales, Marketing and Executive teams. In this role you will be a key member of the team driving the strategy, development, execution, and continuous improvement of core algo and analytical data products for Ad Platforms. You will be building the foundational data architectures and pipelines for our algo and data science capabilities. You will join a team of world-class data engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our data consumers. A successful candidate will have experience building data pipelines using varied engineering technologies such as AWS, EMR, EKS, Spark, Hive, SQL, Iceberg, Snowflake, Oracle, Airflow, Datadog.

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Background in computer science, mathematics, or similar quantitative field with a minimum of 4-6 years professional experienceDemonstrated ability to implement and extend highly performant, resilient, and reliable data servicesWorked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworksExtract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scaleDeep expertise in data modeling, Scala, Spark, Python, Java, Scala, SQL, Trino, Glue and/or other relevant languages and frameworks