Senior Data Engineer

At Apple, we believe in creating products that enrich people's lives in extraordinary ways. Our teams are at the cutting edge of technology, designing and building the software that powers our global ecosystem of devices and services. If you're a passionate engineer who thrives in a fast-paced, collaborative environment and wants to contribute to world-class tools used by hundreds of millions of people, we'd love to hear from you.

We are seeking a talented Senior Data Engineer to join our dynamic team. In this hybrid data engineering and backend development role, you will collaborate across functions to design, build, and deploy end-to-end solutions for data acquisition, processing, analytics, and visualization. You'll continuously identify opportunities to extract deeper insights from existing data, source new data streams, and rigorously validate data quality and processing pipelines. You'll also build custom, interactive visualizations and partner with product teams to integrate analytics and reporting directly into web applications. If you bring deep expertise in Python, SQL, and event-driven messaging, strong backend skills in Go, and hands-on experience with D3.js visualization, this is a unique opportunity to drive meaningful impact atone of the most innovative companies in the world.

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience.\n\n5+ years of professional software engineering experience with a strong focus on data infrastructure and backend development.\n\nAdvanced proficiency in Python for data engineering, including experience with Pandas/Polars, orchestration tools (Airflow, Dagster, or Luigi), and Pydantic for data validation.\n\nStrong proficiency in Go for backend service development, with a preference for idiomatic, standard-library-driven architecture.\n\nExpert-level SQL skills, particularly in PostgreSQL, including complex query optimization, indexing strategies, and database administration.\n\nProven experience developing and deploying D3.js visualizations in production web applications.\n\nDemonstrated track record of building, testing, and deploying backend CRUD services in high-availability production environments.\n\nAbility to work independently, troubleshoot complex data or backend issues, and deliver complete features from conception to production.\n\nHands-on experience refactoring legacy systems to improve code quality, performance, and observability.

Experience translating ambiguous business requirements into clear, scalable technical solutions.\n\nFamiliarity with OpenAPI/Swagger for REST APIs and AsyncAPI for event-driven services.\n\nExperience implementing observability stacks using Prometheus metrics and OpenTelemetry/Jaeger distributed tracing.\n\nDeep understanding of message brokers (NATS, Kafka, Redis Streams) and stream processing patterns.\n\nExperience with cloud object storage (S3-compatible) and caching layers (Redis-compatible).\n\nProficiency with CI/CD pipelines, containerization (Docker), and infrastructure-as-code concepts.\n\nStrong grasp of Agile development practices and Git-based version control workflows.\n\nGenuine passion for Apple's ecosystem and a user-first mindset in engineering decisions.