Tools & Automation Backend Quality Engineer – App Store Analytics
Core
Ensuring accuracy, reliability, and integrity of customer experience data powering App Store features and insights via backend test automation.
Role type
Senior IC backend quality engineer (Big Data)
Builds
Automated validation frameworks for data pipelines, ETL verification, and system integration testing
Domain
Big Data / Distributed Systems / App Store Analytics
Required skills
Python, Java, SQL, CI/CD integration, Shift-Left testing, REST API testing, distributed dataset validation, debugging complex data issues, schema validation, data comparison, regression testing, monitoring/alerting for data quality KPIs
Preferred skills
Spark, Kafka, Flink, Hadoop, Hive, Iceberg, Docker, Kubernetes, Charles Proxy, Postman, iOS/macOS platforms, Swift
Technologies
Spark, Kafka, Flink, Hadoop, Hive, Iceberg, Docker, Kubernetes, Charles Proxy, Postman
Responsibilities
Design and maintain automated test frameworks for backend data validation and ETL verification; Integrate automated tests into CI/CD pipelines; Collaborate with engineers to embed test hooks early in development; Validate data pipelines on distributed storage and compute layers; Develop utilities for schema validation and regression checks; Build monitoring mechanisms for pipeline health; Investigate and debug complex data issues across client and backend layers; Document test strategies and validation reports
Seniority
Senior, hands-on IC
