Build and scale data infrastructure for iCloud Insights while supporting reliable, high-quality reporting used for business decisions.

Contribute to and maintain the data infrastructure behind iCloud insights, including building and optimizing pipelines, designing data models, and ensuring dependable high-quality data for DS&A and stakeholder teams.
Collaborate across teams with an agile approach to resolve complex problems quickly and with attention to detail.
Partner with insights engineering and data science peers to understand requirements and translate them into scalable data solutions.
Improve automation and reliability of core iCloud data workflows through better pipelines and supporting systems.
Develop systems that surface patterns across iCloud storage, subscription, engagement, and commerce data to support consistent reporting across the organization.
Over time, help evolve how iCloud data is structured, governed, and delivered to improve analytical data ecosystem quality, coverage, and efficiency.

5+ years of experience in data engineering or business intelligence, including building and maintaining complex data pipelines and data models at scale.
Strong SQL skills with demonstrated 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: pipeline development, data model design, and aggregation strategies for analytics and reporting.
Exceptional written and verbal communication skills, including translating complex data concepts for product, business, and engineering stakeholders.
Strong time management to balance multiple projects and competing priorities.
BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.

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
Ability to purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan
May be eligible for discretionary bonuses or commission payments and relocation

Experience in a fast-paced technology company, digital subscription business, or e-commerce platform handling 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

Location: Austin, TX (onsite)
Base pay range: $184,700 - $324,800 per year
Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr. Data Engineer, iCloud Insights Engineering

Job Description