Apple

Apple

Tools & Automation Backend Quality Engineer – App Store Analytics

Seattle

Sponsorship not specifiedDetected 6 hours ago
JavaCI/CDKafkaSparkTest AutomationHadoop

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 46 green-card filings in this occupation, 96% were for a worker who already held the job.

Green-card follow-through: 38%

Of 13 labor certifications old enough to have been used, 8 expired without the employer filing the next step. Median time from filing to decision: 383 days.96% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

785 transfer filings in the last year, covering 785 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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 test automation engineer with strong experience in Big Data environments (Spark, Kafka, Flink, Hadoop, Hive, Iceberg), backend, and UI service testing
  • and the ability to build scalable, robust test automation using Java or Python.

Requirements

  • 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.

This listing is sourced directly from Apple's careers page and normalized into a canonical job model.