Apple Inc.
Software Data Engineer - Apple Media Products
Apple Inc., Cupertino, California, United States, 95014
Software Data Engineer - Apple Media Products
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 primarily impact 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, responsible, and tenacious engineer to build features and services that 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. High throughput and reliability are essential. You should also understand data well and be able to help analyze data and assist product teams in coming up with creative features. This team created different types of charts for Apple Music, App Store, Podcast, Movies, etc. Additionally, you will be generating internal datasets for Siri, search, recommendation, etc., to help provide better Apple products. Minimum Qualifications 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 in building and running large-scale data pipelines, including distributed messaging such as Kafka, and data ingest from various sources to feed batch and near-real-time or streaming compute components Experience with data analysis and the ability to analyze large-scale datasets 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 Preferred Qualifications 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 reimbursement for certain educational expenses — including tuition — related to advancing your career at Apple. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefits, 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.
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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 primarily impact 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, responsible, and tenacious engineer to build features and services that 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. High throughput and reliability are essential. You should also understand data well and be able to help analyze data and assist product teams in coming up with creative features. This team created different types of charts for Apple Music, App Store, Podcast, Movies, etc. Additionally, you will be generating internal datasets for Siri, search, recommendation, etc., to help provide better Apple products. Minimum Qualifications 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 in building and running large-scale data pipelines, including distributed messaging such as Kafka, and data ingest from various sources to feed batch and near-real-time or streaming compute components Experience with data analysis and the ability to analyze large-scale datasets 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 Preferred Qualifications 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 reimbursement for certain educational expenses — including tuition — related to advancing your career at Apple. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefits, 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.
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