Analytics Data Engineer, Siri AI Quality Engineering at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, Spark, Data Lake Technology, Pipeline Orchestration, Data Modeling, Governance, Lineage, Reliability Practices, Streaming Analytics, Data Quality Frameworks, Feature Stores, ML Data Pipelines

Industry

Computers and Electronics Manufacturing

Description

Apple is where individual creativities gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something. DESCRIPTION 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. MINIMUM QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 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)

Responsibilities

The Analytics Data Engineer will build a curated, accurate, reliable data lake to support operational and business decisions. This role involves delivering various types of analytics and publishing certified metrics to improve product quality and reduce risk across Apple platforms.