Software Development Engineer, System Analytics & Intelligence (SAIL)

Apple Inc.

Cupertino, CA, United States

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.techcareers.com

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Airflow Amazon S3 Business Analytics Applications Data Analysis Software Quality Continuous Integration Data Infrastructure Data Warehousing Python (Programming Language) Cloud Services

+14 more

Standard Sql Software Deployment Software Engineering Tableau (Software) TypeScript Web Application Frameworks Snowflake Apache Spark Backend Containerization Data Lakes Information Technology Data Pipelines Docker

Job description

Core OS ships the foundational software that powers every Apple product. At that scale, accelerating developer productivity, elevating software quality, and shaping where the organization invests next take more than intuition - it takes turning massive amounts of workflow data into clear, strategic intelligence. The System Analytics & Intelligence (SAIL) team exists to do exactly that: identify what matters most, drive meaningful improvements to the developer experience, and enable Core OS to ship innovative software with high velocity and high confidence., In this role you will be a hands-on engineer who owns the backend and data infrastructure behind SAIL’s analytics products. You’ll design and build large-scale data pipelines and the services and APIs that make their output accessible across the organization - from reliable, scalable ingestion and transformation to the interfaces stakeholders actually use.

We’re looking for engineers with strong fundamentals who enjoy working with data at scale - people who design well-architected systems and care about correctness, reliability, and maintainability. You’ll partner closely with teams across Core OS to make sure what you build delivers real impact.

Requirements

3+ years building production software systems - including backend services and APIs - with strong proficiency in Python
Strong software engineering fundamentals, with demonstrated ability in system design and architecture
Hands-on experience building and operating data pipelines, with strong SQL and experience across modern data platforms (data warehouses, data lakes, or similar)
Experience with CI/CD and production deployment practices
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Preferred Qualifications

Experience working with cloud data platforms (Snowflake, S3, or similar)
Experience with containerization technologies such as Docker and Kubernetes
Experience with data pipeline orchestration tools (Airflow, Spark, or similar) and transformation frameworks (e.g. dbt)
Familiarity with TypeScript/JavaScript or modern frontend frameworks
Background in developer productivity, CI/CD systems, or software development workflow domains
Experience with BI/visualization platforms such as Tableau