Senior Data Engineer, Data Products - Real-Time Ads

Apple; Cupertino (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Apple Ads Data Products Engineering is seeking versatile data engineers to build and operate near-real-time and batch pipelines at ad-tech scale. You will ship features, backfills, and improvements to petabyte-scale pipelines with privacy-preserving critical paths and strong reliability focus.

As part of the team, you will mentor peers, design pipeline components, and collaborate with product managers to deliver data and insight.

Qualifications

• 5+ years of industry experience building distributed, scalable data pipelines.
• Proven track record of successful and timely software delivery with complex dependencies.
• Proficiency with modern programming languages (Scala, Java, or Python).
• Strong computer science and data-engineering fundamentals.
• Proficiency in distributed data processing technologies (Spark, Kafka, Flink) and data modeling with Iceberg lakehouse concepts.
• Experience building and scaling systems on premise and in the cloud.
• Demonstrated productive use of AI coding tools in real delivery.
• Excellent collaborative skills.

Responsibilities

• Engineer and operate secure, scalable data processing systems across real-time, near-real-time, and batch execution contexts using Spark, Kafka, and Iceberg.
• Deliver features, schema changes, backfills, and fixes with clean, well-tested, well-documented code, and help support privacy-preserving critical pipelines.
• Depending on level, own the design of pipeline components, define and refactor approaches to meet correctness and scale challenges, and drive reliability and efficiency improvements.
• Use AI coding agents to accelerate implementation, test coverage, and debugging, validating every result for correctness, privacy, and cost.
• Apply a strong understanding of the intersection between business, analytics, and engineering, taking a proactive approach focused on reusable solutions to improve efficiency and time to insight.
• Contribute to on-call, monitoring, and the continuous improvement of pipeline reliability and efficiency; more senior engineers help lead incident response and root-cause analysis.
• Collaborate with a team of world-class data engineers and product managers; grow through code and design reviews, and mentor other engineers as you gain seniority.
• Work effectively in a rapidly changing, sprint-based, agile environment, and contribute to a culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity.

Skills

Scala

Java

Python

Distributed pipelines

AI coding tools

Data modeling

Spark

Tools

Spark

Kafka

Iceberg

Flink

Job description

Apple Ads Data Products Engineering is seeking versatile data engineers to build and operate near-real-time and batch pipelines at ad-tech scale. You will ship features, backfills, and improvements to petabyte-scale pipelines with privacy-preserving critical paths and strong reliability focus.

As part of the team, you will mentor peers, design pipeline components, and collaborate with product managers to deliver data and insight.