JobsSenior Data Engineer
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Senior Data Engineer

Apple

Location

USA (Multiple Locations)

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

Undergraduate with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

Apple is seeking an exceptional engineer to join its cybersecurity software engineering team, focusing on developing services that support mission-critical information security capabilities. The role emphasizes the use of Apache Spark and requires a strong passion for security and privacy. Candidates will collaborate closely with engineering and partner teams to achieve product objectives. The position demands a commitment to technical excellence and innovative solutions in data-intensive systems.

Requirements

  • 4 years+ demonstrated expertise in designing and implementing relational and medallion data architectures
  • 4 years+ demonstrated expertise in the design and implementation of production data pipelines at scale
  • 4 years+ demonstrated proficiency with JVM languages (Scala or Java preferred), Spark, Golang, or Swift
  • 5+ years experience in data engineering and demonstrated expertise with data modeling
  • 5+ years of experience with JVM languages: Java or Scala
  • 5+ years experience with big data platforms
  • Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases
  • Knowledge engineering expertise including semantic models and knowledge graphs
  • Experience working with cloud compute environments like OpenStack, AWS, and Azure
  • Experience mentoring engineers, conducting code reviews, and contributing to technical best practices and documentation
  • Knowledge of data quality frameworks and validation techniques
  • Knowledge of data governance and compliance frameworks

Responsibilities

  • Work within the cybersecurity software engineering team to drive Apache Spark's features.
  • Collaborate with engineering and partner teams to ensure successful product design and delivery.
  • Utilize cutting-edge technologies to build data-intensive systems.
  • Design and optimize data models to address complex data challenges.
  • Mentor engineers and contribute to technical best practices and documentation.

Benefits

  • 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.

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