Want to get hired at Apple?

Software Engineer Data - Ai & Data Platforms

Apple

Austin, Texas, United StatesOn Site

Original Job Summary

Overview

Apple is where individual imaginations gather together, committing to the values that lead to great work. At Apple, each product, service, and Apple Store experience is a result of collaborative strength. With a diverse team, innovation runs through everything we do.

Role Summary

As a Software Engineer Data - Ai & Data Platforms at Apple, you will build high-quality, scalable, and resilient distributed systems powering Apple’s cloud analytics platforms and data pipelines. You will work on the Enterprise Data Warehouse supporting real-time, near real-time, and batch analytical solutions. This position involves integrating open source technologies like Kafka, Spark, Iceberg, Airflow, and Presto with Apple’s internal systems.

Responsibilities

  • Design, build, test, and ship scalable cloud applications.
  • Integrate open source solutions into Apple’s ecosystem.
  • Work with internal customers to gather requirements and propose improvements.
  • Tune, debug, and support production systems.
  • Develop high-quality code in Python, Scala, or Java.

Minimum Qualifications

  • Knowledge of BI concepts and cloud database experience (Snowflake or Big Query).
  • Proficiency in Python, Scala, or Java.
  • Experience in writing optimized SQL and procedures for distributed applications.
  • Bachelor's degree in Computer Science or equivalent experience.

Preferred Qualifications

  • 3+ years experience building enterprise-level data applications.
  • Experience with cloud-based applications including compute services, databases, APIs, ETL, and notification services.
  • Hands-on with Snowflake, Java, Spark, and Kafka.
  • Understanding of object-oriented design, data structures, algorithms, and problem solving.
  • Experience with AWS, Microsoft Azure, or Google Cloud.
  • Familiarity with data visualization tools like Streamlit, Superset, Tableau, Business Objects, and Looker.
  • Experience in generating data insights, KPIs, and basic ML models for anomaly detection and forecasting.

Key skills/competency

  • Distributed Systems
  • Cloud Computing
  • Python
  • Java
  • Scala
  • Data Pipelines
  • Kafka
  • Spark
  • ETL
  • SQL

How to Get Hired at Apple

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant cloud and distributed systems experience.
  • Showcase tech skills: Emphasize Python, Scala, Java expertise.
  • Research Apple: Understand Apple culture and innovation practices.
  • Prepare for coding interviews: Practice with algorithm and design questions.

📝 Interview Preparation Advice

Technical Preparation

Review cloud platform services documentation.
Practice coding in Python, Java, or Scala.
Refresh distributed systems and database optimization.
Study case studies on scalable data pipelines.

Behavioral Questions

Describe teamwork in high-pressure projects.
Explain conflict resolution in past roles.
Share learning from a challenge experience.
Discuss adaptation to new technology trends.