Software Engineer - Data Engineering

Cupertino, California, United States
Software and Services
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Summary

Posted:
Weekly Hours: 40
Role Number:200586325
People at Apple don’t just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. The Analytics Platforms & Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more. Our team bridges data engineering with insights and analytics. We provide interactive data solutions that amplify the collective potential of datasets, enabling analytics and actionable insights. We're seeking a software data engineer to join the APX Observability Insights team. In this role you will help identify and deliver actionable insights for teams building and operating analytics pipelines for Apple. We focus on delivering innovative capabilities and anticipating future technological trends.

Description

As a member of the APX Observability Services team you will have significant responsibility and influence in discovering and delivering actionable insights for Data Engineering in Apple. This is a software engineering position processing observability data and generating actionable insights that improve efficiency and productivity for data engineering teams. - Low-latency Data Processing - Data Engineering telemetry analysis - Loading and querying Analytics Data Warehouse - Engage with users and collaborators - Multi-functional collaboration with platform and peer teams

Minimum Qualifications

  • Bachelor’s Degree in Computer Science, or equivalent related experience
  • 3+ years of hands-on experience building Analytics applications using Snowflake and Apache Flink or Apache Spark.
  • Programming experience in Java (preferred) or Scala, Python.
  • Experience with Big Data: Hadoop, HDFS, Spark, SQL, Kafka.
  • Proven skills in building Analytics applications using technologies like Snowflake, Flink.

Key Qualifications

Preferred Qualifications

  • Experience with big data orchestration systems like Airflow
  • Strong experience with container orchestration tools, such as Kubernetes

Education & Experience

Additional Requirements

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 $143,100 and $264,200, 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.

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.

Submit ResumeSoftware Engineer - Data Engineering
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