Sr. Data Engineer, iCloud Insights Engineering

Apple’s iCloud Insights Engineering team builds the data foundations that power analytics and reporting at scale. In this Sr. Data Engineer role based in Austin, TX (onsite), you will help design and operate robust data pipelines and complex data models to support data-driven insights across product, business, and engineering stakeholders.

What you’ll do

• Build and maintain complex data pipelines and data models at scale
• Query, manipulate, and analyze internet-scale data structures and very large datasets
• Develop and apply data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies for analytics and reporting
• Translate complex data concepts for diverse audiences, including product, business, and engineering stakeholders

What you bring

• 5+ years of experience in data engineering or business intelligence roles
• Demonstrated expertise building and maintaining complex pipelines and data models at scale
• Strong SQL proficiency
• Proven experience querying, manipulating, and analyzing internet-scale data structures and very large datasets
• Advanced proficiency with Python (or similar languages)
• Experience with distributed computing frameworks such as Spark for complex data manipulation and analytics
• Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies supporting analytics and reporting
• Exceptional written and verbal communication skills, including the ability to explain complex data concepts to product, business, and engineering audiences
• Strong time management skills to balance multiple projects with competing priorities
• A BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field

Technologies

• SQL
• Python
• Spark

Preferred qualifications

• Experience in a fast-paced technology company, digital subscription business, or e-commerce platform, navigating complex data ecosystems
• Familiarity with data governance, data quality frameworks, or metadata management concepts
• An MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field