Data Engineer - Large-Scale Spark & Streaming for Ads

JobCubby; Cupertino (CA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Apple is seeking a Software Engineer for the Ads data engineering team in Cupertino. You will design and implement distributed data pipelines that process large volumes of advertising events across batch, near-real-time, and streaming environments.

The role emphasizes correctness, data quality, privacy, and scalability, with ownership from architecture to production support. The ideal candidate has strong software engineering fundamentals, hands-on Spark experience, and a background in building

Qualifications

• 3+ years of professional software or data engineering experience building production systems.
• Strong CS fundamentals including data structures, algorithms, concurrency, and distributed systems concepts.
• Strong programming skills in Java and/or Scala with production-quality software experience.
• Hands-on experience building and operating large-scale data pipelines using Apache Spark.
• Strong understanding of Spark concepts including partitioning, shuffles, joins, caching, execution plans, memory management, and performance tuning.
• Experience designing distributed batch and/or streaming data processing systems.
• Experience with Kafka, Hadoop, S3/object storage, or equivalent large-scale data infrastructure.
• Strong SQL skills and experience working with large analytical datasets.
• Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
• Understanding of data modeling, partitioning strategies, schema evolution, and efficient storage formats such as Parquet.
• Experience building reliable production systems with testing, monitoring, alerting, and operational support.
• Strong debugging and problem-solving skills across distributed systems.
• Ability to communicate effectively with cross-functional partners.
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related field, or equivalent practical experience.

Responsibilities

• Design, develop, and operate production data pipelines using Spark, Kafka, and cloud storage.
• Build scalable data processing infrastructure for batch, near-real-time, and streaming workloads.
• Collaborate with engineers, data scientists, SREs, and product teams to translate requirements into scalable solutions.
• Focus on data correctness, privacy, reliability, performance, and observability in production systems.

Skills

Java

Scala

Distributed systems

SQL

Problem solving

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka

Hadoop

S3

Spark

Iceberg

Kubernetes

Flink

Job description

Apple is seeking a Software Engineer for the Ads data engineering team in Cupertino. You will design and implement distributed data pipelines that process large volumes of advertising events across batch, near-real-time, and streaming environments.

The role emphasizes correctness, data quality, privacy, and scalability, with ownership from architecture to production support. The ideal candidate has strong software engineering fundamentals, hands-on Spark experience, and a background in building