Software Data Engineer, App Store

You will build the design and delivery of compliance-critical data products, including pipelines and analytical outputs that meet regulatory and privacy requirements. This role also encompasses analytics engineering, exploratory data analysis, ML-driven data observability and developing scalable self-service data products.","responsibilities":"Design and build scalable data pipelines with CI/CD ensuring reliability with unit/integration tests

Develop data architectures using distributed systems (e.g., Spark, Kafka) and optimize for high-throughput processing

Implement monitoring, observability, and automated recovery for data systems in production

Clean, transform, and model large scale data into analytics-ready datasets using Python, Scala or Java

Contribute to large-scale quantitative analysis projects through all phases; this includes data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization

Collaborate with stakeholders from Engineering, Product, Legal, Privacy, and Governance to translate requirements into precise data model specifications and data analytics product

Use AI coding assistants for architecture exploration, pipeline generation, test coverage, and documentation as standard practice. Treat AI-generated code with the same review rigor as human-authored code

Preferred Qualifications

Exposure to privacy, compliance, or governance data requirements in a pipeline or analytics context

Exposure to ML or statistical anomaly detection, even in a learning or project context

Experience in writing and maintaining high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration.

Minimum Qualifications

3+ years of experience building production data pipelines on distributed systems

Solid programming skills in Scala or Java or Python and proficiency in SQL

Hands-on experience in big data technologies, such as: Hadoop, Spark/Flink, Kafka, Airflow, Iceberg, Trino and Kubernetes

Working knowledge of data modeling fundamentals, structured and unstructured data analysis, predictive modeling techniques to identify patterns, translating domain requirements into engineering specifications

Active use of AI coding assistant, actively learning LLM-augmented workflows

Excellent communication; proven success partnering with cross-functional stakeholders (Product, Engineering, Legal, Privacy etc.)

Bachelor's Degree in Computer Science, Engineering or a Quantitative discipline (e.g., Statistics, Economics, Mathematics).","internalDetails":null

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 $220,900, 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.

Client-provided location(s): San Francisco, CA

Job ID: apple-200661956-3577_rxr-664

Employment Type: OTHER

Posted: 2026-05-11T19:15:35