Software Engineer, Big Data - Apple Services Engineering

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

Seattle, Washington, United States Software and Services

The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. This team powers the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale and meeting Apple's high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 countries.We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems, frameworks, and platforms using big data technologies.

Description

As a team member of the ASE Analytics & Data Engineering team, you will have significant responsibility and influence in shaping the team's future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle.This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems.

Responsibilities

• You will have the opportunity to:
• 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

Minimum 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

Preferred Qualifications

• Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively

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 $175,000 and $308,500, 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

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple's workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.