Data Analytics Engineer - Apple Services Engineering

Data Analytics Engineer - Apple Services Engineering

Cupertino, California, United States

The Apple Services Engineering team is one of the most exciting examples of Apple's passion for combining art and technology! These are the people who power the App Store, Apple Music, Apple TV, Apple Games, and many others. They do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, forward-thinking, and cross-functional, offering greater exposure to the array of opportunities here.

Description

As a team member of the ASE Data Engineering team, you will have significant responsibility and influence in shaping its future direction. This role is inherently cross-functional and the ideal candidate will work across disciplines. We are looking for someone with a love for data and ability to iterate quickly on all stages of data pipeline. This position involves working on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies. Successful candidates will have strong engineering skills and communication, as well as a belief that data driven processes lead to phenomenal products. You will need to have a passion for quality and an ability to understand sophisticated systems.

Minimum Qualifications

• BS in Computer Science or a related field with 5+ years experience.
• Strong technical knowledge in Java, Scala, SQL.
• Multi year experience with Big Data technologies like Spark batch, Spark streaming, Flink and Hadoop ecosystem.
• Experience integrating messaging technologies like Kafka.
• Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc.
• Enjoys deep technical and product discussions. Has attention to detail and can context switch across multiple projects.

Preferred Qualifications

• MS in Computer Science or a related field with 7+ years experience.
• Experience leading complex engineering projects from inception to production across organizational boundaries.
• Exceptional analytical skills combined with a deep knowledge of data structures and algorithms.
• Can see the big picture, set a vision, and grow the team and platform in accordance to that vision.
• Excellent communication skills. Can effectively communicate complex ideas and make compelling arguments - guiding the team, partners and leadership.
• Deep experience in designing and implementing scalable big data solutions that span multi-functional teams.

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 $147,400 and $272,100, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.

Apple accepts applications to this posting on an ongoing basis.