Senior Data Engineer for iCloud Insights Analytics

Apple Inc.; Austin (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Apple Inc. in Austin, TX is seeking a Data Engineer to build and optimize data pipelines for iCloud analytics. You will design data models, ensure data quality, and enable scalable insights across product, design, and engineering teams.

Collaborate with DS&A to surface patterns in storage, subscription, engagement, and commerce data while advancing data governance and delivery. This role emphasizes privacy and regulatory compliance.

Qualifications

• 5+ years of experience in data engineering or BI roles.
• Strong proficiency with SQL and experience querying and analyzing large datasets.
• Advanced Python or similar language skills; experience with distributed computing (Spark).
• Experience with data pipelines, data model design, and aggregation for analytics.
• Excellent written and verbal communication; ability to translate data concepts for stakeholders.
• Strong time management to balance multiple projects.

Responsibilities

• Build and optimize iCloud data pipelines and data models.
• Ensure high-quality, reliable data for insights across DS&A and stakeholders.
• Collaborate across product, design, engineering, marketing, editorial, legal, and business teams.
• Translate requirements into scalable data solutions, improving automation.
• Surface patterns across iCloud storage, subscription, engagement, and commerce data.
• Help shape data governance, quality, and delivery for analytics.

Skills

SQL

Python

Data modeling

Communication

Education

BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or related field

MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or related field

Tools

Spark

Job description

Apple Inc. in Austin, TX is seeking a Data Engineer to build and optimize data pipelines for iCloud analytics. You will design data models, ensure data quality, and enable scalable insights across product, design, and engineering teams.

Collaborate with DS&A to surface patterns in storage, subscription, engagement, and commerce data while advancing data governance and delivery. This role emphasizes privacy and regulatory compliance.