Sr. Data Engineer, iCloud Insights Engineering

Build and scale the data infrastructure behind iCloud insights and high-quality reporting for business decisions.

Responsibilities

• Contribute to and maintain the data infrastructure powering iCloud insights, including pipeline building and optimization, data model design, and ensuring reliable, high-quality data for DS&A and stakeholder teams
• Collaborate across multiple teams to tackle complex problems quickly using an agile approach with strong attention to detail
• Partner with insights engineering and data science peers to understand requirements and translate them into scalable data solutions that improve automation and reliability of core iCloud workflows
• Develop systems that surface patterns across iCloud storage, subscription, engagement, and commerce data to support consistent and accurate organizational reporting
• Shape how iCloud data is structured, governed, and delivered over time to improve analytical data ecosystem quality, coverage, and efficiency

Requirements

• 5+ years of experience in data engineering or business intelligence roles, with demonstrated expertise building and maintaining complex data pipelines and data models at scale
• Strong SQL proficiency, including proven ability to query, manipulate, and analyze internet-scale data structures and very large datasets
• Advanced proficiency in Python (or similar) and 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 for analytics and reporting
• Exceptional written and verbal communication skills, including the ability to translate complex data concepts for diverse audiences (product, business, and engineering stakeholders)
• Strong time management skills to balance multiple projects with competing priorities
• BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics , or a related field

Technologies

• SQL
• Python
• Spark

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
• Eligible for discretionary restricted stock unit awards
• Can purchase Apple stock at a discount through voluntary participation in the Employee Stock Purchase Plan
• May be eligible for discretionary bonuses or commission payments, and relocation (if eligible)

Preferred Qualifications

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

Pay & Benefits

• Base pay range: USD 184,700 to 324,800 per year
• Learn more about Apple Benefits
• Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program

Location: Austin, TX (onsite)

Experience: 5+ years

Education: BS in a related field (Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or equivalent)