Privacy-Driven Data Engineer for Real-Time ML Pipelines

Apple, Inc.; Cupertino (CA); On-site; USD 129,000 - 195,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Discounted products & free services

Tuition reimbursement

Apple stock purchase eligibility

Discretionary RSU awards

Relocation assistance

Job summary

Apple in Cupertino seeks a Data Engineer to build privacy-focused data and ML systems across real-time, near-real-time, and batch workflows. You will own components from pipeline design to deployment, with privacy and correctness at the forefront.

The role emphasizes reliability, performance, and cost efficiency while leveraging LLMs like Claude and Gemini daily to accelerate development. 1+ years of experience and BS/MS required.

Qualifications

• 1+ years of experience building scalable data pipelines and ML systems.
• Strong computer science and software engineering fundamentals.
• Proficiency in Rust, Python, Java, or Scala.
• Experience with distributed systems and data processing technologies such as Spark, Kafka, Flink.
• Experience building and scaling systems on premise and in the cloud.
• Solid understanding of data structures, algorithms, and system design.
• Ability to communicate effectively with cross-functional technical and non-technical teams.
• Hands-on experience using LLMs (Claude, Gemini) in daily engineering work.
• Excellent collaboration skills.
• BS/MS in Computer Science, Software Engineering, Distributed Systems, or a related field.

Responsibilities

• Engineer secure, scalable data and machine learning systems across real-time, near-real-time, and batch execution using Spark, Kafka, Iceberg, and related technologies.
• Own end-to-end delivery of core components from pipeline architecture to ML model development, training, and deployment, including privacy-preserving infrastructure.
• Improve reliability, performance, and efficiency through schema changes, backfills, and testing infrastructure (including A/B testing).
• Apply understanding of business, analytics, and engineering to deliver reusable, efficient solutions.
• Use LLMs and AI coding agents daily to accelerate coding, testing, and debugging while validating results for correctness and privacy.
• Contribute in an Agile, sprint-based environment emphasizing reliability and scalability.
• Participate in on-call and incident response with senior support for root-cause analysis.
• Collaborate with cross-functional partners and mentor others as you advance.

Skills

1+ years exp

CS fundamentals

Rust

Python

Java

Scala

Distributed systems

Data structures & algorithms

LLMs

Communication

Collaboration

Education

BS/MS in CS or related field

Tools

Spark

Kafka

Iceberg

Flink

Rust

Python

Java

Scala

Claude

Gemini

Job description

Apple in Cupertino seeks a Data Engineer to build privacy-focused data and ML systems across real-time, near-real-time, and batch workflows. You will own components from pipeline design to deployment, with privacy and correctness at the forefront.

The role emphasizes reliability, performance, and cost efficiency while leveraging LLMs like Claude and Gemini daily to accelerate development. 1+ years of experience and BS/MS required.