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.
Were looking for a software engineer who is excited to build the systems that make this possible - the data pipelines, services, and platforms that turn raw signals from across the development lifecycle into insights that drive real organizational decisions. In this role you will be a hands-on engineer who owns the backend and data infrastructure behind SAILs analytics products. Youll 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.
Were 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. Youll partner closely with teams across Core OS to make sure what you build delivers real impact. Design, build, and operate large-scale data pipelines and transformation workflows that power Core OS workflow analytics
Build the backend services and APIs that make data insights accessible and actionable for stakeholders across Core OS
Own the architecture, reliability, performance, and extensibility of the systems you build, so they grow with the needs of the organization
Partner with engineering teams and stakeholders to translate analytics needs into reliable, scalable technical solutions3+ 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 practicesExperience 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
| Location | CA |
| Industry | Computer/IT Services |
| Company Size | 10,000 employees or more |
| Year Founded | 1976 |
| Website | https://www.apple.com/jobs |
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