Analytics Data Engineer, Siri AI Quality Engineering
About The Position
The Siri Quality Engineering team is seeking an Analytics Data Engineer to build a Curated, Accurate, Reliable data lake — a governed lakehouse with point-in-time and near-real-time pipelines, and a clear semantic layer — so teams trust and use data to help drive operational and business decisions. You will ultimately be part of a collaborative team that's responsible for understanding how well our products work, advocating for critical changes, and representing how they'll be experienced by our customers. We deliver descriptive, diagnostic, prescriptive, and predictive analytics that show what’s happening, explain why, recommend what to do, and empower decision making automation. We publish certified metrics and models used in executive-facing reports, raising product quality, accelerating releases, and reducing risk across all Apple platforms and locales. As a member of our passionate group in Siri, you will have the unique and rewarding opportunity to shape and improve our products to delight and inspire millions of Apple's customers every day.
Requirements
- 5+ years in data engineering
- expert SQL and Python knowledge
- Deep Spark experience (batch + structured streaming)
- Hands-on experience with a modern data lake technology: Iceberg or equivalent of object storage
- Proven pipeline orchestration (Airflow or equivalent) and Git-based delivery
- Strong data modeling, governance, lineage, and reliability practices
Nice To Haves
- Spark Streaming, Kafka, Flink or similar streaming; near-real-time analytics
- Data-quality frameworks and observability
- Experience with feature stores and ML data pipelines
- BS/MS in an engineering or a related field (or equivalent)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
