Senior Data Engineer - iCloud Data Pipelines

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Apple stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Cupertino, California, is seeking a highly skilled Data Engineer to design and maintain scalable data pipelines for iCloud products and platform interactions.

You will own rich datasets and drive data-driven decisions across Photos, Mail, Messages, and more. You will collaborate with cross-functional teams, apply Spark, Hadoop, Flink, and SQL to build reliable data solutions, and help surface relevant information at scale.

Qualifications

• 8+ years of experience with Spark and other distributed data technologies for building large-scale data pipelines.
• Proficiency in Java, Python or Scala.
• Strong SQL and data modeling/data architecture skills.
• Experience in a matrixed organization with cross-functional projects.
• Excellent communication and collaboration for technology strategy discussions.
• Familiarity with AWS cloud resources (S3, EC2, RDS).
• MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience.

Responsibilities

• Engineer efficient, adaptable, scalable data pipelines for structured and unstructured data.
• Own and evolve rich datasets on iCloud products and platform interactions.
• Build forward-looking data solutions interfacing with existing systems.
• Collaborate with cross-functional teams and drive high-quality data outcomes.
• Contribute to data frameworks and platforms to improve decision-making.

Skills

Spark

Java

Python

Scala

SQL

Data Architecture

Data Modeling

Distributed processing

Education

MS/BS in CS, Engineering, Mathematics, Statistics or related field

Tools

Hadoop

Presto

Flink

Druid

Kafka

Job description

Apple Inc. in Cupertino, California, is seeking a highly skilled Data Engineer to design and maintain scalable data pipelines for iCloud products and platform interactions.

You will own rich datasets and drive data-driven decisions across Photos, Mail, Messages, and more. You will collaborate with cross-functional teams, apply Spark, Hadoop, Flink, and SQL to build reliable data solutions, and help surface relevant information at scale.