Software Data Engineer - Analytical Engineering - Apple Media Products

Key Skills

Algorithms, Apache Hadoop, Apache Kafka, Big Data Technology, Data Engineering, Effective communication skills, HDFS, SPARK Programming, SQL

Job Description

As a member of the App Store Data Engineering team, you will have significant responsibility and influence in shaping its strategic direction. This is a software engineering position. We write robust code, not just ad-hoc scripts. Our software process dozens of terabytes of data on daily basis. Our volumes are on a petabytes scale. Our jobs and applications must be efficient, scalable, and stable. Although we write software, data is our main product and first-class citizen. We care about accurate and qualitative data as much as we care about fine, clean, and manageable code. The data we produce power Apple leadership and partners about new innovations and the next big things. To succeed here you'll need to be a proponent of building world-class analytical solutions. To be a part of the team means we will want your ideas, concerns, and opinions in our discussions. We are highly collaborative. To join us in our next industry-leading software project you will be expected to be part of our very impactful multi-functional team. 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 multi-functional, offering greater exposure to the array of opportunities here.

Minimum Qualifications

• Bachelor’s Degree or equivalent experience in Computer Science or related field

Preferred Qualifications

• 5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.
• 5+ years of programming experience in Scala (preferred) or Java.
• Experience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.
• Proven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow and Cassandra.
• Good understanding of software engineering principles and fundamentals including algorithms and data structures.
• Self-directed, self-motivated and ability to create architecture and design documents.
• Ability to capture multi-functional requirements and translate them into practical engineering tasks.
• Excellent communication skills and proven ability to work in a multi-functional environment.
• Understanding of functional programming ideas and principles.

Pay & Benefits

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 $166,600 and $296,300, 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. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.