Software Engineer (Data), Ai & Data Platforms

Apple's Artificial Intelligence and Data Platforms (AiDP) team is seeking an experienced Software Engineer to join their mission of building high-quality, scalable distributed systems that power Apple's cloud analytics platforms and data pipelines.

The role focuses on developing enterprise-level data applications that are crucial for various business functions including Sales, Operations, Finance, AppleCare, Marketing, and Internet Services. You'll work with cutting-edge technologies including Kafka, Spark, Iceberg, Airflow, and Presto, building solutions that integrate seamlessly with Apple's internal ecosystem.

As a Software Engineer on the team, you'll be responsible for designing and implementing cloud-based applications, working on both on-premise and cloud infrastructure. The position requires strong programming skills in languages like Python, Java, or Scala, along with expertise in SQL and cloud platforms. You'll be working with high data volumes across distributed systems, making critical architectural decisions that impact Apple's data analytics capabilities.

The ideal candidate brings 3+ years of experience in building enterprise data applications, with strong knowledge of cloud data warehousing platforms like Snowflake. You'll collaborate with internal stakeholders to understand requirements and propose innovative solutions that streamline their experience. The role offers exposure to various aspects of data engineering, from ETL processes to API development and data visualization.

At Apple, you'll be part of a team that values innovation, quality, and user experience. The position offers competitive compensation, including base pay, equity opportunities, and comprehensive benefits. You'll work in an environment that encourages learning and growth, with opportunities to impact critical business decisions through data-driven solutions.

This is an excellent opportunity for a data-focused software engineer who wants to work on large-scale systems, tackle complex technical challenges, and contribute to Apple's data infrastructure that powers decision-making across the company. Join us in building the next generation of data platforms that combine the best of open-source technologies with Apple's unique ecosystem.