At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1!
Everything we do is designed for trust, connection, and impact. We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes - from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. Our platforms are highly-performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

Description:

We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data solutions that solve exciting business problems. Job duties range from designing and implementing core data infrastructure, stream-processing capabilities, to supporting critical privacy preserving pipelines.

You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 4+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!","responsibilities":"Design, develop, and optimize distributed algorithms and data processing frameworks

Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets

Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks

Ensure data integrity, security, and compliance across all solutions

Participate in cross-functional Agile teams to prototype and deliver impactful, data-driven products

Build tools to integrate the data eco system

Preferred Qualifications:

Strong technical skills with proven experience developing and supporting scalable data infrastructure

Ability to communicate effectively with multi-functional technical and non-technical teams

Prior experience in advertising industry is a huge plus

Contribution to open source distributed system projects

Minimum Qualifications:

4+ years of industry experience building scalable data pipelines and data platforms

Strong computer science and data engineering fundamentals

Expertise in programming languages such as Python/Java/Scala/Rust

Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, Elasti Cache)

Expertise in relational databases and SQL

Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)

Expertise in access management , building catalogs , query engines

Expertise in building data compaction tools

Experience building and scaling systems on premise and in the cloud

BS or MS in Computer Science, Software Engineering or related technical fields

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 .

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. 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.