Summary

Posted: Oct 31, 2024

Weekly Hours: 40

Role Number:200576498

Apple is seeking a highly skilled data engineer to join the Data Engineering team within Apple Products: Apple Music, App Store, Podcast, iTunes and more. The team is data-driven engineers, collaborating with products team to build user-facing features that primary impacting worldwide customers. We are looking for a dedicated engineer who is motivated by challenging problems and enthusiastic about data. This is a unique opportunity to join a focused team and work collaboratively with other groups to create significant impact features

Description

We are seeking a hardworking, well responsible, tenanted engineer to build features and services, which power many of Apple products. As a core member of the Data Engineering team you will be responsible for designing and implementing features that rely on processing and serving very large datasets with an awareness of scalability. This will include crafting systems to model, ingest, process and compute large-scale, critically important data across High-throughput and reliability are essential. Also, understand data well and be able to help to analyze data and help with product teams come up creative features. This team created different types of charts for Apple Music, App Store, Podcast, Movies etc. Also generating internal dataset for Siri, search, recommendation etc to help them provide better Apple products.

• Bachelors/equivalent, or greater, in Computer Science or related field
• Experience with distributed computing technologies such as Hadoop and Spark
• Proficiency in Scala, Java, SQL
• Expertise in designing, implementing and supporting highly scalable data systems and services
• Expertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest from various sources to feed batch and near-realtime or streaming compute components
• Experience with data analysis, and be able to analyze large scale dataset
• Solid understanding of data-modeling and data-architecture optimized for big data patterns, such as efficient storage and query on HDFS
• Experience with distributed storage and network resources, at the level of hosts, clusters and Data Centers, to troubleshoot and prevent performance issues

• Experience with Apache Iceberg tables
• Familiarity with Docker and Kubernetes
• Familiarity with Apache Airflow
• Familiarity with Tableau
• Familiarity with Data modeling

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 $175,800 and $312,200, 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.

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Learn more about your EEO rights as an applicant.