Apple

Apple

Posted via Apple Careers

Staff Data Engineer

Always Hiring

Posted Aug 14, 2026

Role at a glance

Salary
Not Disclosed
Location
Austin, Texas, United States Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Experience
15+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building...

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Qualifications

Minimum qualifications include 15+ years working with Spark and other distributed data technologies to build efficient, large-scale pipelines; high proficiency in at least one of Java, Python, or Scala; deep expertise in data principles, architecture, and modeling; strong SQL; problem-solving and attention to detail; experience in complex, matrixed organizations and cross-functional or cross-business projects; strong communication, collaboration, and technology-strategy discussion skills; and conceptual familiarity with AWS resources, networking and the OSI model, and the technology stack from BMCs and firmware through operating systems, containers, and applications.

Required

  • 15+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building...
  • Highly proficient in at least one of Java, Python or Scala
  • Deep expertise in Data Principles, Data Architecture & Data Modeling, Strong SQL skills
  • Strong problem solver with meticulous attention to detail, capable of taking on loosely defined problems
  • Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
  • Strong communication and collaboration skills & ability to lead high-level discussions on technology strategy and approach
  • Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)
  • Conceptually familiar with OSI model and understanding of how network works (Load Balancer, Routers, network tagging, NetFlow)

Preferred

  • Experience with Cloud Computing platforms like Amazon AWS, Google Cloud
  • Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others
  • Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)
  • Experience building distributed, high-volume data services is a plus

About the role

Original posting provided by Apple

View original

Summary

We are the Risk and Vulnerability Management (RVM) team in Apple Services Engineering (ASE) Security. We manage security risk for the infrastructure, platforms, and services behind iCloud, App Store, Apple Music, TV+, and Commerce. Findings reach us from scanners, red team engagements, design reviews, vendor advisories, threat intelligence, and bug bounty. Our job is to turn all of that into one prioritized backlog engineering teams can work from, and a posture picture leadership can trust.

Most of that job is data work. Signal arrives from dozens of systems at different quality and age, and it rarely says which asset, which service, or who owns it, so someone pieces that together by hand before anyone can act on it. That manual step sets the ceiling on how fast we identify and triage risk, and on how fast our partners can fix it. We are consolidating this onto one security data platform: a system of record for findings, a graph for ownership and blast radius, and a lakehouse for posture metrics and analytics.

Description

We are looking for a Staff Data Engineer to lead the data engineering and data architecture behind it. You will own the data model and the pipeline contracts other teams build against, move pipelines from prototype into production the business depends on, and make ownership attribution and risk enrichment a service instead of repeated one-off work. Success here takes deep distributed data engineering experience, real data judgment, and the ability to hold a technical direction across a large, matrixed engineering organization.

Minimum Qualifications

15+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines
Highly proficient in at least one of Java, Python or Scala
Deep expertise in Data Principles, Data Architecture & Data Modeling, Strong SQL skills
Strong problem solver with meticulous attention to detail, capable of taking on loosely defined problems
Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
Strong communication and collaboration skills & ability to lead high-level discussions on technology strategy and approach
Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)
Conceptually familiar with OSI model and understanding of how network works (Load Balancer, Routers, network tagging, NetFlow)
Conceptually familiar of the full technology stack (from BMCs, Firmware, to OS layer, to containers and applications) primitives

Preferred Qualifications

Experience with Cloud Computing platforms like Amazon AWS, Google Cloud
Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others
Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)
Experience building distributed, high-volume data services is a plus

Pay & Benefits — Seattle, Washington, United States

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 $175,000 and $308,500, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.