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Staff Data Engineer

Apple

Staff Data Engineer

Apple

Austin, TX

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Healthcare

401k

Equity

Learning

Required Skills

Apache Spark

Java

Python

Scala

SQL

Data Architecture

Data Modeling

People at Apple don't just build products they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it.
The Apple Services Engineering Security team builds and provides secure systems and infrastructure that fuel Apple's services (such as i Cloud, i Tunes, Siri, App Store, and Maps). As part of the ASE Security team, you will help manage the security needs of Apple's services around the world. You will build and integrate the security controls, guardrails, and frameworks that help protect our customers data in Apple's infrastructure.

Your effort will help build solutions to a variety of outstanding security challenges in software supply chain, security posture, and risk management. Join us, and you'll play a meaningful role in ensuring the highest standard of security for one of the most-watched companies in the world!

Description:

We're looking for exceptional data engineers who have a strong background in distributed data processing, have demonstrable data intuition, and share our passion for continuously improving the ways we use data to make the Apple's products, applications, and platform secure, safe, and better.

You will:

  • Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data

  • Own and evolve extremely rich datasets to power a wide variety of use cases for security posture

  • Build forward-looking data solutions that interface well with existing systems and suit security needs

  • Deliver data frameworks and platforms that improve delivery

  • You will be accountable for producing quality software that meets service level objectives

  • Participate in code and security reviews to help your peers to meet high standards for infrastructure at Apple

  • Research, prototype, and present ideas and designs to your team, management, and internal customers

Preferred Qualifications:

Experience with Cloud Computing platforms like Amazon AWS, Google Cloud

Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others

Experience with Search systems (such as Elastic Search, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)

Experience building distributed, high-volume data services

Minimum Qualifications:

10+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines

Highly proficient in at least one: Java, Python or Scala

Deep expertise in Data Principles, Data Architecture & Data Modeling

Strong SQL skills:

Familiar with AWS cloud resources (S3, EC2, RDS etc)

Familiar with OSI model and good understanding of how networking works (Load Balancer, Routers, network tagging, Net Flow)

Familiar with the full technology stack (from BMCs, Firmware, to OS layer, to containers and applications) primitives

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. Learn more about your EEO rights as an applicant .

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit