Staff Data Engineer

People at Apple don't just build products they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it.

The Apple Services Engineering Security team builds and provides secure systems and infrastructure that fuel Apple's services (such as iCloud, iTunes, Siri, App Store, and Maps). As part of the ASE Security team, you will help manage the security needs of Apple's services around the world. You will build and integrate the security controls, guardrails, and frameworks that help protect our customers data in Apple's infrastructure.

Your effort will help build solutions to a variety of outstanding security challenges in software supply chain, security posture, and risk management. Join us, and you'll play a meaningful role in ensuring the highest standard of security for one of the most-watched companies in the world!

Description

We're looking for exceptional data engineers who have a strong background in distributed data processing, have demonstrable data intuition, and share our passion for continuously improving the ways we use data to make the Apple's products, applications, and platform secure, safe, and better.

You will:

Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data

Own and evolve extremely rich datasets to power a wide variety of use cases for security posture

Build forward-looking data solutions that interface well with existing systems and suit security needs

Deliver data frameworks and platforms that improve delivery

You will be accountable for producing quality software that meets service level objectives

Participate in code and security reviews to help your peers to meet high standards for infrastructure at Apple

* Research, prototype, and present ideas and designs to your team, management, and internal customers

Preferred Qualifications

Experience with Cloud Computing platforms like Amazon AWS, Google Cloud

Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others

Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)

Experience building distributed, high-volume data services

Minimum Qualifications

15+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines

Highly proficient in at least one: Java, Python or Scala

Deep expertise in Data Principles, Data Architecture & Data Modeling

Strong SQL skills

Familiar with AWS cloud resources (S3, EC2, RDS etc)

Familiar with OSI model and good understanding of how networking works (Load Balancer, Routers, network tagging, NetFlow)

Familiar with the full technology stack (from BMCs, Firmware, to OS layer, to containers and applications) primitives