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 the 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.
We are looking for an ambitious and versatile engineer who will be a key member of our team, delivering data solutions to important business problems. Responsibilities range from core storage and processing capabilities, to mission-critical pipelines, to supporting online serving architectures, and leading edge, privacy preserving machine learning platforms. You will have the opportunity to define, refine, and/or refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions.
You should have 4-8+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good team player under tight deadline constraints is key to success.
You are a clear and effective communicator, and enjoy collaborative problem solving
You love working on a shared codebase that supports web-scale, mission critical applications; and the discipline that it requires
You have deep expertise in modern data engineering approaches, stay on top of developments, and are aware of what leading players are doing
You have a demonstrated ability to implement and extend highly performant, resilient, reliable, and understandable data pipelines
You have experience with Spark, Hadoop, Kafka or other distributed systems
You have deep expertise in Python, Java, Scala, SQL, and/or other relevant languages and frameworks
You have experience with Oracle, Postgres, mySQL, or other relational databases
You have worked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks
You have worked in CI/CD environments and understand scalable deployment and operational management approaches
You have experience with pipelines and architectures that support machine learning development platforms and production applications
You are familiar with A/B and other online testing applications
You understand statistics and are capable of using data analysis techniques to understand data quality, profile system loads, understand the relationships between business metrics, and similar
At Ad Platforms, we are constantly developing data products to provide amazing user experiences and drive value for publishers and developers. We are looking for a data engineer to deliver our future data systems, by working to:
Design and implement new pipelines, storage, and processing solutions using modern, Distributed Systems approaches and technologies
Advocate for the design and implementation approaches you propose
Follow best practices in storage, processing, copy/synchronization, etc. appropriate to the scale and maturity of our products
Work in cross-functional teams to prototype new concepts and deliver end-to-end systems in an agile setting
Design and deliver high quality systems with excellent reliability and scalability
Work closely with partners across the organization to create and build data-driven products
Education & Experience
Bachelors, Masters, or PhD or equivalent professional experience in Computer Science, Distributed Systems, Software Engineering, or related field and experience designing, building, maintaining, and extending web-scale production data systems.