Data Engineer

• Software Delivery & TechnologiesSan Diego, California, United States

Software and Services

Posted: Mar 03, 2026

Role Number: 200649207

SummaryDo you want to help define the future of delivering Apple software to customers? Join the Software Delivery Insights & Release Technologies team and work on new technologies used to deliver Apple platforms to millions of customers. Our team thrives on innovation and engineering excellence, seeking individuals with a genuine excitement to collaborate, solve sophisticated problems, and deliver outstanding user experiences.

DescriptionYou will be a pivotal member of a team building the next generation of software release workflows, enabling the software development lifecycle for an ever-growing number of platforms and teams contributing to Apple's software products. Our applications seamlessly integrate with developer workflows, from source code integration through release of Apple platforms and assets to customers. Our team of engineers is dedicated to reusable design, robust architecture, and delivering elegant, extensible, and high-quality engineering solutions. In this role, you will collaborate closely with software developers, data engineers, and project managers.

You will translate complex requirements into scalable, reliable, and secure data pipelines, data processing workflows, and machine learning pipelines that produce actionable insights and integrate seamlessly with AIML initiatives. Success in this role involves clear technical communication and collaboration across teams to explain complex systems, contribute to technical decision-making, and help align teams on shared engineering initiatives. We're seeking individuals who share these values and are passionate about improving and extending our services and products.

Minimum QualificationsBachelor's degree or equivalent practical experience in Computer Science, Software Engineering, Data Engineering, or a related field

2

• years of hands-on data engineering experience in production systems

Designing, building, and maintaining large-scale ETL/ELT data pipelines

End-to-end pipeline ownership (ingestion, transformation, storage, validation)

Query performance optimization and tuning at scale

Strong proficiency in Python and SQL, used in production environments

Hands-on experience with workflow orchestration tools (e.g., Airflow, Spark workflows, or similar)

Experience working with modern data platforms (big data platforms, data lakes, and/or data warehouses)

Experience building and operating data systems in cloud environments (AWS/GCP)

Experience with CI/CD tooling and production deployment practices (e.g., Jenkins or similar tools)

Experience with one or more compiled programming languages and solid software engineering fundamentals -including data structures & algorithms, object-oriented design, and concurrency

Preferred QualificationsHands-on experience supporting machine learning data workflows, including data preparation, feature engineering, and ensuring data quality, freshness and schema for ML systems

Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes/EKS)

Knowledge of data governance principles, data security best practices, and data privacy regulations

Pay & BenefitsAt 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 $139,500 and $258,100, 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.

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.

Apple accepts applications to this posting on an ongoing basis.