Senior Big Data Engineer - Scalable Pipelines & Analytics

Apple Inc.; Seattle (WA); On-site; USD 175,000 - 309,000; Full time

Benefits offered by this job

Stock programs

Relocation assistance

Educational reimbursement

Medical & dental coverage

Employee stock purchase plan

Job summary

Apple Inc. in Seattle, WA is seeking a Software Engineer to join Apple Services Engineering (ASE) to design and build large-scale data pipelines powering App Store and other services.

You will work on distributed data processing systems, collaborate across product, engineering, and operations, and help shape the data platform strategy. The role emphasizes cross-functional collaboration, data-driven solutions, and a strong emphasis on quality.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience.
• 6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms.
• Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka
• Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes and Airflow.
• Proven track record of designing, launching, and scaling production-quality data pipelines that power product features
• Strong data intuition, backed by solid SQL and data analysis skills
• Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly

Responsibilities

• Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions
• Help drive architectural vision to support future growth and opportunities
• Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy
• Own data quality, scalability, and SLAs for assigned datasets and pipelines
• Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems

Skills

Distributed data processing

Data pipeline design

SQL data analysis

Strong communication

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, or related field

Tools

Java

Scala

Spark

Flink

Kafka

HDFS

Hadoop

S3

Kubernetes

Airflow

Job description

Apple Inc. in Seattle, WA is seeking a Software Engineer to join Apple Services Engineering (ASE) to design and build large-scale data pipelines powering App Store and other services.

You will work on distributed data processing systems, collaborate across product, engineering, and operations, and help shape the data platform strategy. The role emphasizes cross-functional collaboration, data-driven solutions, and a strong emphasis on quality.