Data Engineer, Apple Ads

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$129,300–$194,700 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k
This role $162k
$113k most similar roles pay here $279k

This role pays less than 79% of similar roles. Most pay $172,312–$254,750 — the shaded band above. At the midpoint, this role pays about $162k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3513 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2730 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Data Engineer, Apple Ads

Data Engineer, Apple Ads joins the Ad Platforms Data team to build high-performance data stores and next-generation analytical solutions. This role involves designing and developing data models, building processing pipelines, and managing cloud-based data warehouse platforms to support a suite of customer experiences and advanced analytics. The engineer will analyze infrastructure to identify gaps, automate existing tasks, and ensure system reliability while collaborating with architects, scientists, and business users. Key technical requirements include expertise in SQL, dimensional modeling, and data governance. Candidates should be proficient in Python, Spark, Talend, Informatica, SSIS, or DBT, and have experience with Snowflake, Redshift, BigQuery, or similar architectures. The role addresses the challenge of delivering scalable advertising solutions across platforms like the App Store while maintaining high standards for user privacy and security.

What does a Data Engineer earn in California?

Median $187556 from 35 postings across 18 companies.

See salary data

What you'll do

  • Analyze data models and infrastructure to identify gaps and suggest architectural improvements.
  • Design and support next-generation analytics and reporting systems in collaboration with engineering teams.
  • Develop, implement, and deliver the analytical data warehouse supporting various customer experiences.
  • Automate and optimize existing data processing tasks by identifying patterns and implementing solutions.
  • Build high-performance data processing pipelines while ensuring security, scalability, and reliability.
  • Manage cloud-based data warehouse platforms using tools like Snowflake, Redshift, or BigQuery.
  • Guide internal partners on best practices for utilizing the data warehouse platform.

What we're looking for

  • Minimum 1+ years of experience in Cloud Data Engineering.
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field (or equivalent practical experience).
  • Expertise in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery, or analogous architectures.
  • Deep SQL expertise, data modeling, dimensional modeling, and experience with data governance.
  • Experience using data processing tools such as Python, Spark, Talend, Informatica, SSIS, or DBT.
  • Experience designing and operating petabyte-scale data processing systems (preferred).
  • Deep expertise in Apache Spark performance tuning and optimization (preferred).
  • Experience with batch/real-time architectures (Kafka/Flink) and AWS technologies like S3 and Kubernetes (preferred).

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