The Apple Services Analytics Engineering QA team focuses on ensuring the quality and integrity of customer experience data across various Apple services. They are seeking Mid-level Data Test Automation Engineers who will develop automated testing tools for near real-time and batch data pipeline systems. This role emphasizes improving data quality and learning cutting-edge tools and technologies. Candidates will work in a dynamic environment, collaborating with engineering teams to enhance Apple’s data-driven products.

• BS/BA/MS/MA/PhD degree in any of the STEM majors.
• 5+ years of experience with Big Data technologies such as HDFS, AWS, Spark, and Kafka.
• 5+ years of knowledge in Python, Java, and/or Scala.
• 5+ years of experience with Big Data query tools like Hive and SparkSQL.
• 5+ years of experience with near real-time and batch data pipelines.
• 5+ years of experience in data migrations, Data Warehousing, and Business Intelligence.

• Understand near real-time and batch data pipeline systems developed by engineering teams.
• Carry out data profiling and understand schema, data interrelationships, and data flows.
• Document test plans and write test case automation.
• Work closely with other teams for bug reporting and isolation.
• Implement automated tests for NRT and batch data pipelines using QA automation tools.
• Automate UI testing for iOS devices.
• Demonstrate excellent bug reporting skills and communicate clearly with third parties.
• Lead junior team members and contribute in a team environment.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.