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 collaboration with engineering and partner teams to design, develop, and deliver product objectives. Candidates should have a strong passion for technical excellence and a drive for security and privacy. Expertise in Apache Spark and large-scale software development in distributed computing environments is essential.

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 closely with engineering teams to ensure successful design and development of product objectives
  • Collaborate with cross-functional teams to solve complex data challenges
  • Design and optimize data models for data-intensive systems
  • Develop and implement production data pipelines at scale
  • Mentor engineers and conduct code reviews to uphold technical best practices

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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