Data Engineer, Ads – App Store

Summary

Posted: Apr 26, 2024
Weekly Hours: 40
Role Number:200536139

Apple’s App Store is the world’s largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion 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. But we believe we are just getting started.

We are seeking a. hands-on senior data engineer with strong background in data privacy to join the App Store Analytics engineering team focused on Advertising solutions to help drive app discoverability. In this role, you will be part of analytics team working with product, privacy, cross functional engineering teams to drive creation of innovative privacy preserving solutions that deliver on Apple’s privacy vision.

Key Qualifications

• 4+ years of programming experience in Scala (preferred) or Java
• Hands-on experience building distributed data processing applications using Apache Spark or Apache Flink,
• Proven skills in designing scaleable, highly available distributed systems using Kafka, Iceberg, Kubernetes, Airflow & Cassandra or similar technologies
• Understanding of functional programming ideas and principles.
• Self-directed, self-motivated and ability to create architecture and design documents
• Good understanding of software engineering principles and fundamentals including algorithms and data structures.
• Ability to capture cross-functional requirements and translate them into practical engineering tasks.
• Excellent communication skills and proven ability to work in a cross-functional environment.
• Demonstrated ability to be a fast learner and collaborative problem solver

Description

In this role, you will be part of a team that will collaboratively ideate to solve novel problems in area of ads measurement. You will be an individual contributor to implement the designs to a scalable, high quality observable set of pipelines and services. You will be accountable for the quality, scalability and performance of the systems we build. You will lean into and pick up new technologies as driven by needs of the project. You will partner with program teams to plan and execute sprint goals. You will be part of a collaborative, supportive team that will embrace challenges and value humility, honesty and commitment to each others growth.

Education & Experience

Bachelors/Masters Computer Science, Math, Statistics or equivalent work experience.

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 $131,500.00 and $243,300.00, 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. Learn more about Apple Benefits.

  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

  Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.