Apple · 19 hours ago
Sr. Data Engineer
Apple is a leading technology company, and they are seeking a Sr. Data Engineer to join their Capacity Engineering team. In this role, you will design, build, and operate data solutions that support critical business decisions across Apple’s infrastructure, focusing on large-scale data pipelines and analytics.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple
Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement
Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services
Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple’s standards for data protection and privacy
Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement
Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.)
Qualification
Required
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field
5+ years of experience in data engineering (or equivalent practical experience), including:
Building and maintaining large-scale ETL/ELT data pipelines
Distributed computing (e.g., Spark / PySpark) for data processing and automation
Query performance optimization and tuning at scale
Hands-on experience with:
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting
Big data platforms and/or data lake architectures
Experience with CI/CD tooling such as Jenkins (or similar tools)
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services)
Preferred
Advanced degree in a related field a plus
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus)
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus
Understanding of authentication and authorization (AuthN/AuthZ) patterns
Knowledge of data governance principles, data security best practices, and data privacy regulations
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase