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 Software Data Engineering Manager - App Store - Seattle, Washington, 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 - Programming Languages
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: 200232762 / Latpro-3808030 
Date posted: Jul-21-2021
State, Zip: Washington, 98199


Software Data Engineering Manager - App Store

Seattle , Washington , United States

Software and Services


Posted: Jul 2, 2021

Weekly Hours: 40

Role Number: 200232762

The Apple Media Products Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And 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 dedication 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. The Apple Media Products Analytics Engineering team is seeking an engineering manager to lead and grow the team, which will drive the vision and deliver privacy-first ad targeting and audience segmentation solutions powering Ads in App Store and Apple News. This team will have the outstanding opportunity to re-imagine and create innovative solutions building on the foundation of Apple's privacy principles, large-scale data processing and applied machine learning models.

Key Qualifications

  • 8+ years of proven experience in software development, focusing on big data processing and distributed systems
  • 2+ years of as lead, or a manager
  • Track record of delivering high-impact products and working with stakeholders
  • Experience in internet-scale distributed technologies (e.g. Solr, Kafka) and Big Data frameworks (e.g. Hadoop, Spark, Hive and similar technologies)
  • Knowledge of machine learning and experience productionalizing data science models
  • Passion for consumer privacy and learning about privacy
  • Proficient in Java, Scala or Python and SQL
  • Relevant experience with relational / non-relational databases (e.g. MySQL, Oracle, Cassandra)
  • Strong background in algorithms and data structures
  • Excellent written and oral communication skills, ability to present to both technical and non-technical audiences


In this role, you will be a key partner and influencer in architecting the next generation of privacy-first solutions for ad targeting, and marketing efficiency measurements. You will work to have a keen sense of business and product needs, and help select technologies and creative solutions to problems. You will ensure partners and stakeholders have clear updates and build trust. As a manager, you will lead the team to work through ambiguity, make design trade offs and execute with quality. You will help find talent and build an amazing team. As part of an encouraging team, you will sustain the culture of inclusiveness, ownership and collaboration. You will be responsible for performance management and mentoring your team to achieve their potential.

Education & Experience

Bachelor's or Master's degree in Computer Science, Computer Engineering, Statistics, or equivalent experience. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


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