Tools & Automation Backend Quality Engineer - App Store Analytics
The App Store Analytics Quality Engineering team ensures the accuracy, reliability, and integrity of customer experience data that powers features and insights across the App Store ecosystem. We are seeking a Backend Test Engineer with strong experience in Big Data environments (Spark, Kafka, Flink, Hadoop, Hive, Iceberg) and the ability to build scalable, robust backend test automation using Java or Python.
This role is central to ensuring quality throughout the data lifecycle - from client instrumentation to backend aggregation and reporting - by applying shift-left testing principles, embedding quality checks early in development, and integrating test automation within CI/CD pipelines.
Description
In this role, you will drive quality for large-scale distributed data systems that power App Store analytics. You will collaborate closely with engineering, data, and program management teams to define test strategies, contribute to automation frameworks, and ensure high data fidelity across ingestion, transformation, and reporting layers.
You will be responsible for:
Implementing and maintaining automated validation frameworks for data pipelines and services
Integrating automated tests into CI/CD pipelines to ensure continuous feedback and early defect detection
Partnering with developers to shift quality left by embedding testability into data workflows and APIs
Ensuring consistency and correctness of client-to-backend data flows across iOS, macOS, tvOS, and Web
This role requires a self-driven engineer with strong technical depth, solid analytical skills, and the ability to influence quality across complex, evolving systems.
","responsibilities":"Design, implement, and maintain automated test frameworks for backend data validation, ETL verification, and system integration testing
Collaborate with data and backend engineers to embed test hooks and validations early in the development lifecycle (Shift-Left)
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Integrate automated tests into CI/CD pipelines to ensure continuous quality validation
Validate data pipelines built on Spark, Kafka, Flink, Hive, Hadoop, and Iceberg, ensuring correctness, completeness, and performance
Develop scalable utilities for schema validation, data comparison, and regression checks across distributed datasets
Conduct functional, regression, and data integrity testing across multiple storage and compute layers
Build monitoring and alerting mechanisms for pipeline health and data quality KPIs
Investigate, isolate, and debug complex data issues across client and backend layers
Document test strategies, automation architecture, and validation reports
Preferred Qualifications
Hands-on experience with Big Data frameworks (Spark, Kafka, Flink, Hadoop, Hive, Iceberg)
Familiarity with containerized environments (Docker, Kubernetes) and deployment automation
Knowledge of Charles Proxy, Postman, or equivalent tools for API and network validation
Exposure to iOS/macOS platforms and Swift (for end-to-end validation scenarios)
Passion for building maintainable, reusable, and scalable test automation systems
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or similar
Strong proficiency in Python and/or Java for backend test automation and data validation
Working knowledge of SQL and large-scale dataset validation across distributed storage or data lake environments
Experience with REST API testing and automation
Experience with CI/CD pipelines and continuous testing frameworks
Proven experience implementing Shift-Left testing practices and embedding automation early in the SDLC
Strong analytical, debugging, and communication skills
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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