Data Engineer, Privacy‑Focused Ads Platform

Socket.dev; Cupertino (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple Ads is building privacy‑focused data capabilities to deliver exceptional experiences for users and advertisers. We hire engineers with 1–4 years of experience to design scalable data pipelines, real‑time and batch processing, and ML components that respect privacy and scale with Apple's ecosystems.

You will collaborate with product managers and other engineers in an Agile environment, contributing to reliable systems, performance improvements, and cost‑efficient solutions while growing

Qualifications

• 1-4 years of industry experience building scalable data pipelines and machine learning systems, or other distributed software, at scale.
• Strong computer science and software engineering fundamentals.
• Proficiency in modern programming languages such as Rust, Python, Java, or Scala.
• Experience with distributed systems and data processing technologies (e.g. Spark, Kafka, Flink).
• Experience building and scaling systems on premise and in the cloud.
• Solid understanding of data structures, algorithms, and system design principles.
• Ability to communicate effectively with cross‑functional technical and non‑technical teams.
• Hands‑on experience using LLMs (e.g. Claude, Gemini) in daily engineering work — for code generation, review, debugging, test writing, agentic loops, and evaluation systems— to continually improve software engineering skills and velocity.
• Excellent collaborative 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 contexts using Spark, Kafka, Iceberg, and beyond
• Own the design and delivery of core components — from pipeline architecture to ML model development, training, and deployment — including support for privacy-preserving, mission-critical infrastructure
• Drive reliability, performance, and efficiency improvements across your systems, including schema changes, backfills, and the experimentation and testing infrastructure (e.g. A/B testing) needed to validate them
• Apply a strong understanding of the intersection between business, analytics, and engineering, with a proactive focus on reusable, efficient solutions
• Use LLMs and AI coding agents (e.g. Claude, Gemini) daily to accelerate implementation, testing, and debugging — continually validating every result for correctness, privacy, and cost
• Collaborate with a team of world‑class engineers and product managers; grow through code and design reviews, and mentor others as you gain seniority
• Contribute to on‑call, monitoring, and continuous reliability and efficiency improvements; more senior engineers help lead incident response and root‑cause analysis
• Work effectively in a rapidly changing, sprint‑based Agile environment, and contribute to a culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity

Skills

Rust

Python

Java

Scala

Spark

Kafka

Flink

LLMs

Code review

Agile

Education

BS/MS in Computer Science, Software Engineering, Distributed Systems, or a related field

Tools

Iceberg

Claude

Gemini

Spark

Kafka

Job description

Apple Ads is building privacy‑focused data capabilities to deliver exceptional experiences for users and advertisers. We hire engineers with 1–4 years of experience to design scalable data pipelines, real‑time and batch processing, and ML components that respect privacy and scale with Apple's ecosystems.

You will collaborate with product managers and other engineers in an Agile environment, contributing to reliable systems, performance improvements, and cost‑efficient solutions while growing