Sr. Data Engineer, iCloud Insights Engineering

Apple’s iCloud Insights Engineering team relies on dependable data foundations to power analytics and reporting at scale. As a Sr. Data Engineer in Austin, TX (onsite), you will design and build robust data pipelines and complex data models that help stakeholders turn internet-scale information into actionable insights.

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 to support 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
• Proven expertise building and maintaining complex data pipelines and data models at scale
• Strong SQL proficiency
• Demonstrated 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 familiarity with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies for analytics and reporting
• Exceptional written and verbal communication, including the ability to translate complex data concepts for product, business, and engineering audiences
• Strong time management skills, with the ability 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