Data Engineer - Ads

The people here at Apple don't just build products— they craft the kind of wonder that has revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple and help us leave the world better than we found it! A job at Apple is unlike any other you've had. You will be challenged. You will be inspired. And you'll be proud! At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish!

At Apple, we work every day to create products that enrich people's lives. Apple Ads 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, 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.

Description

Apple Ads Team is seeking a Software Engineer with a passion for data engineering and building large-scale data pipelines. We are looking for someone who is eager to build high-performing, scalable, well-designed back-end systems that are the foundation for critical internal and customer-facing platforms at Apple.

Minimum Qualifications

3-10 years of experience in software development in a Java/Linux environment, including hands-on experience building data services or pipelines Proficient in Data Engineering concepts across batch and/or streaming Solid hands-on experience with Spark or similar distributed data processing frameworks Strong programming skills in Java or Scala Experience with Cloud Services like EKS, Kubernetes, etc. Ability to automate manual tasks to achieve efficiency Experience with one or more databases such as MySQL, Postgres, Oracle, Snowflake, Cassandra, etc. Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams A desire to work in a fast-paced and challenging work environment

Preferred Qualifications

BS in Computer Science or equivalent degree Exposure to Flink or other stream-processing frameworks Exposure to building Pub/Sub mechanisms for message flow Exposure to applied machine learning, analytics, or business intelligence is a plus Commitment to developing high-quality software and products Curiosity to explore and understand data is a strong plus