About The Position
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. We're 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 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
- Strong proficiency in Python
- Strong software engineering fundamentals
- Demonstrated ability in system design and architecture
- Hands-on experience building and operating data pipelines
- Strong SQL
- Experience across modern data platforms (data warehouses, data lakes, or similar)
- Experience with CI/CD and production deployment practices
Nice To Haves
- 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
Responsibilities
- Design and build large-scale data pipelines
- Develop services and APIs to make data output accessible across the organization
- Ensure reliable, scalable ingestion and transformation of data
- Create interfaces for stakeholders to use
- Partner closely with teams across Core OS to ensure built systems deliver real impact
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
