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 Data Engineering Lead, Apple Media Products Data Science & Analytics - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200191586 / Latpro-3754170 
Date posted: Sep-12-2020
State, Zip: California, 95014


Data Engineering Lead, Apple Media Products Data Science & Analytics

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: Sep 12, 2020

Role Number: 200191586

At Apple, great ideas have a way of becoming great products and services. If you are a self-motivated and high-energy person who is not afraid of challenges, we are looking for you! Apple is seeking a Data Engineering Lead to join the Data Science & Analytics Organization for Apple Media Products (AMP), covering the App Store, Apple Music, Apple TV, Apple Podcasts, and other services. This role will drive data engineering for large-scale data science and machine learning initiatives across numerous AMP products and services. AMP Data Science & Analytics collaborates with executives and various partners across product, design, engineering, and business teams: Our mission is to drive innovation at Apple through in-depth quantitive research of the App Store, Apple Music, Apple TV, Apple Podcasts, and other services.

Key Qualifications

  • 2+ years of experience in leading a data engineering team
  • 4+years demonstrated ability in distributed data technologies (e.g., Hadoop, Spark)
  • Proficiency in at least one programming language (e.g., Python, Java, Scala) and rock-solid SQL skills
  • Strong hands-on experience in designing and developing curated datasets for data science and machine learning is a must have
  • Teammate with excellent communication/collaboration skills when it comes to closely working with data scientists and machine learning engineers daily
  • Experience in establishing organization-wide data engineering processes and guidelines
  • We seek industry experience in agile development and DevOps


Lead, recruit, and manage a team with varied strengths of hard-working data engineers Define data engineering processes and promote best-practices across the organization Ensure data engineering quality and governance! Own and deliver against a prioritized multi-year roadmap for data engineering Work multi-functionally to deliver crucial strategic programs and partnerships that align with business priorities Strong out-of-the-box thinking, curious technical and business attitude, and an ability to motivate and encourage people

Education & Experience

Minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. Ideally, Masters or Ph.D. in a related field.


See job description


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