Data Engineer, Apple Services Engineering

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.

Description

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.

","responsibilities":"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

Preferred Qualifications

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

Minimum Qualifications

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

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 .