Data Engineer, Apple Services Engineering

The Apple Services Engineering (ASE) team is seeking a Data Engineer to design and build data platforms for visualizations and insights, powering services like the App Store, AppleTV, and iCloud. This role involves designing, developing, and maintaining robust data pipelines to support data science initiatives, building a comprehensive aggregate data layer for executive reporting, data applications, and ML inference. The engineer will collaborate with data scientists, engineers, and Quality teams to create scalable data solutions.

Must Have

• Design, implement, and maintain data pipelines using Python and SQL
• Manage data stores containing millions of records, ensuring availability, security, and scalability
• Collaborate with data scientists, business partners, and engineering groups to identify performance indicators from complex data sets
• Create visualizations for these indicators, metrics, and trends
• 3-5 years of experience in Data Engineering or similar role
• 3-5 years of experience in Python and SQL
• 3-5 years of experience with data schema design and data modeling
• Bachelors degree in Computer Science, Data Science, Mathematics, or related field, or equivalent experience
• Experience creating data visualizations that tell compelling stories using tools such as Tableau, D3, Plotly, or Observable

Good to Have

• Experience with JavaScript/TypeScript, Swift, R, or Scala
• Experience with NoSQL datastores (such as HBase, Cassandra, MongoDB)
• Experience integrating messaging technologies like Kafka or Flink
• Experience with Big Data Tech such as Apache Spark or Hadoop
• Familiarity with Observability and telemetry tools such as CloudWatch, Splunk, Prometheus, OpenTelemetry
• Ability to build CI pipelines and automation tools using tools such as Jenkins, GitHub Actions, CircleCI, etc.
• Experience with mentoring, guiding, and motivating other team members
• Excellent presentation and communication skills, with strong attention to detail

Perks & Benefits

• Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
• Eligibility for discretionary restricted stock unit awards
• Option to purchase Apple stock at a discount through Apple’s Employee Stock Purchase Plan
• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses related to advancing your career at Apple
• Eligibility for discretionary bonuses or commission payments
• Relocation assistance

The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, AppleTV, Apple Music, iCloud, and many more. We’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Does an exciting, dynamic, and fast-paced environment catch your attention? Consider joining our team! We are seeking a Data Engineer to join our team who brings deep passion for designing and building data platforms that power visualizations and insights that enable us to track and ship our projects to billions of customers worldwide. If you love data and creating beautiful, compelling, and intuitive visualizations, we want to hear from you.

As a Data Engineer in ASE, you will be responsible for designing, developing, and maintaining robust data pipelines to support data science initiatives. Our team's task is to build a comprehensive aggregate data layer that enables efficient and flexible executive reporting, highly customized data applications, and powerful ML inference and analysis. In this role, you will work closely with data scientists, engineers, and Quality teams to build scalable data pipelines and solutions. As a data engineer, you must effectively collaborate to bridge the gap between business needs, analytical solutions, and engineering requirements.

• Design, implement, and maintain data pipelines using Python and SQL
• Manage data stores containing millions of records and insure availability, security, and scalability
• Collaborate with data scientists, business partners, and engineering groups to identify performance indicators from complex data sets, then create visualizations for these indicators, metrics, and trends

• 3-5 years of experience in Data Engineering or similar role
• 3-5 years of experience in Python and SQL
• 3-5 years of experience with data schema design and data modeling
• Bachelors degree in Computer Science, Data Science, Mathematics, or related field, or equivalent experience
• Experience creating data visualizations that tell compelling stories using tools such as Tableau, D3, Plotly, or Observable

• Experience with JavaScript/TypeScript, Swift, R, or Scala is a big plus
• Experience with NoSQL datastores (such as HBase, Cassandra, MongoDB)
• Experience integrating messaging technologies like Kafka or Flink
• Experience with Big Data Tech such as Apache Spark or Hadoop
• Observability and telemetry tools such as CloudWatch, Splunk, Prometheus, OpenTelemetry
• Ability to build CI pipelines and automation tools using tools such as Jenkins, GitHub Actions, CircleCI, etc.
• Experience with mentoring, guiding, and motivating other team members
• Excellent presentation and communication skills, with strong attention to detail

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 $147,400 and $272,100, 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 seek to promote 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 accepts applications to this posting on an ongoing basis.