Apple Music, Data Engineering Software Engineer

AECOM; San Francisco (CA); On-site; USD 143,000 - 265,000; Full time

Job summary

Join a leading tech company as a Data Engineering Software Engineer, where you will enhance Apple Music’s data-driven services. You will design scalable data systems, build large-scale data pipelines, and collaborate across teams to optimize user experiences globally. This role combines innovation with technical expertise to shape the future of music streaming.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Educational reimbursement

Employee stock purchase plan

Qualifications

• 5+ years relevant industry experience.
• Experience with distributed computing technologies.
• Expertise in building large-scale data pipelines.

Responsibilities

• Designing and implementing features for big data processing.
• Craft systems to model and compute mission-critical data.
• Collaborate with teams for scalable customer data features.

Skills

Distributed Computing

Data Architecture

SQL

Scala

Java

Kafka

Education

Bachelor’s degree in Engineering, Computer Science, or related field

Tools

Hadoop

Spark

Docker

Kubernetes

Apache Airflow

Job description

Apple Music, Data Engineering Software Engineer

**San Francisco, California, United States**

**Software and Services**

**Summary**

Posted: **Jun 05, 2025**

Weekly Hours: **40**

Role Number: **200607840**

This team is more than a group of engineers — it’s a group of music lovers. That passion has made Apple Music the world’s most complete music experience, with over 60 million songs, thousands of playlists, and daily selections from music experts for 115 countries. The team’s data-driven engineers focus relentlessly on the customer experience by running worldwide experiments and analyzing usage and latency, while collaborating with Apple’s product groups. As a result, someone can use the Shazam app to identify an intriguing song in a café in the morning, add it to their playlist from Apple Watch, listen to it through their AirPods on their commute, and share it with their family on HomePod at dinnertime. And there’s more where that came from, because personalization powered by machine learning and music science helps listeners discover more of what they love. Apple Music is a huge part of Apple’s business because it’s a big part of people’s lives.

**Description**

We are seeking a hardworking, performance-savvy, engineer to build out the big data platform and services, which power many of these customer features — existing and new. As a core member of the Data Engineering team you will be responsible for designing and implementing features that rely on processing and serving very large datasets with an awareness of scalability. This will include crafting systems to model, ingest, process and compute large-scale, mission-critical data across Apple Music. High-throughput and reliability are essential. The computed datasets are produced for internal reporting used by executives and they are also shared across many teams within the ASE organization, such as the Search team, Recommendation team, AB team, Marketing team. You will also enjoy the benefits of working in a fast growing business where you are encouraged to “Think Different” to solve very interesting technical challenges and where your efforts play a key role in the success of Apple’s business. This is your opportunity to help engineer highly visible global-scale systems with petabytes of data, supporting hundreds of millions of users. Come join us to help deliver the next amazing Apple product!

**Minimum Qualifications**

+ Bachelor’s degree in Engineering, Computer Science, Business Information Systems, or related field

+ At least 5+ years relevant industry experience

+ Experience with distributed computing technologies such as Hadoop and Spark

+ Proficiency in Scala, Java and SQL

+ Expertise in designing, implementing and supporting highly scalable data systems and services

+ Expertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest from various sources to feed batch and near-realtime or streaming compute components

+ Solid understanding of data-modeling and data-architecture optimized for big data patterns, such as efficient storage and query on HDFS

+ Experience with distributed storage and network resources, at the level of hosts, clusters and DCs, to troubleshoot and prevent performance issues

+ Experience with data lake and data warehouse solutions

**Preferred Qualifications**

+ Experience with Apache Flink

+ Experience with Apache Iceberg tables

+ Experience with Apache Beam

+ Familiarity with Docker and Kubernetes

+ Familiarity with Apache Airflow

**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 $143,100 and $264,200, 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. (https://www.apple.com/careers/us/benefits.html)

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 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.