Analytics Data Engineer - Siri AI Quality Engineering

Analytics Data Engineer - Siri AI Quality Engineering

Cupertino, California, United States

Software and Services

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.

Responsibilities

Build curated, accurate, and reliable data that powers Siri AI

Design and run our lakehouse so analysts and data scientists can move fast with confidence

Design and evolve the lakehouse (i.e. Apache Iceberg): schemas, partitioning, compaction, and schema evolution

Build batch and streaming pipelines with Python/Spark/PySpark; orchestration with Apache Airflow (or similar)

Ingest from diverse sources; manage metadata, lineage, and the data catalog

Enforce data quality (tests, SLAs, monitors) and reliability (idempotency, replay, backfills)

Optimize cost and performance across storage and compute

Partner with analysts to deliver semantic layers, certified metrics, and feature tables

Document, review, and automate scripts, runbooks, CI/CD, and infra-as-code

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)

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.