Analytics Data Engineer - App Store

Summary Apple’s App Store is the world’s largest and

most innovative app marketplace, home to 2.1 million apps and

serving more than 850 million customers every week across all the

Apple devices. Since the App Store launched in 2008, it has changed

how we all live; it has enabled countless new companies, spawned

new industries, and built millions of jobs. In a world where apps

have become essential in people’s daily lives, the App Store team

has become essential to Apple’s business. Thanks to Apple’s unique

integration of hardware, software, and services, engineers here

partner to get behind a single unified vision. That vision always

includes a deep commitment to strengthening Apple’s privacy policy,

one of Apple’s core values, and fostering such values across

developer community. We keep innovating privacy technologies and

lead the world into a safer future where you control what data is

collected about you. Although App Store is a bigger part of Apple’s

business than ever before, these teams remain small,

forward‑thinking, and cross‑functional, offering greater exposure

to the array of opportunities here. In this role you will help

deliver great experience and improve the store for both users and

developers by generating insights from data in a privacy‑friendly

manner.

Description As a member of the App

Store Data Engineering team, you will play a key role in building

large‑scale data products for external reporting needs. This is a

software engineering role with strong analytical responsibilities.

We build robust, production‑quality code and process petabytes of

data daily in a distributed way. Data is our core product, and we

care deeply about its correctness, semantic, lineage, usability and

future

evolution.

Responsibilities

Work

in highly cross functional team

Design new

data products in collaboration

Maintain and

evolve existing data products throughout their

lifecycle

Explore new ideas, run analysis,

share insights, propose improvements,

innovate

Evolve data contracts, improve

interfaces with existing systems, introduce new

ones

Write clean, efficient, scalable code

that processes hundreds of terabytes of

data

Review team members’ code in efficient

and constructive way

Maintain and improve

internal documentation

Conduct initial testing

and work with other validating partners to complete

certification

Own data quality, scalability

and cost efficiency for the assigned datasets and data

pipelines

Release changes to

production

Work with SRE teams on

troubleshooting

Contribute to surrounding

infrastructure, services, frameworks, shared tools, standard

methodologies, documentation and solutions to common

problems

Abide by applicable policies and

standards

Minimum

Qualifications

5+ years of hands‑on experience

in data engineering, analytics engineering, distributed data

processing, or similar roles

5+ years of

hands‑on experience in Java or Scala

3+ years

of hands‑on experience in building and maintaining service layer

applications, including data access patterns and integration with

backend data systems

Expert‑level proficiency

in SQL

Good understanding of computer science

fundamentals — algorithms, data structures,

complexity

Good record of maintaining systems

and apps in production

Bachelor or Master

degree in Computer Science, Software Engineering, Business

Information Systems, Statistics or similar quantitative degree, or

equivalent work experience

Preferred

Qualifications

Excellent communication and

collaboration skills and ability to present new

ideas

Deep understanding of big‑data stack,

experience with some or all of following technologies : Spark,

Flink, Kafka, Trino(Presto), Hadoop, Airflow, Iceberg, DBT,

Snowflake, Cassandra, HBase, S3‑like blob storage, Redis and other

similar systems

Experience with traditional

RDBMS systems : Oracle, PostgreSQL or

others

Understanding e‑Commerce domain :

payments, transactions, sales, subscriptions, monetization,

Ability to work autonomously and unblock

yourself

Experience of working in corporate

environments with big number of teams

Data

investigation and exploration skills

System

design and documentation skills

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 $116,800 and $226,000, 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

Inc.’s discretionary employee stock programs. Employees are

eligible for discretionary restricted stock unit award

recommendations, and can purchase Apple Inc. stock at a discount if

voluntarily participating in Apple Inc.’s Employee Stock Purchase

Plan. Participation in Apple Inc