Senior Data Engineer

Apple Inc.; Sunnyvale (CA); On-site; USD 150,400 - 277,600; Full time

Job summary

Apple Inc. is seeking a Senior Data Engineer to join a cybersecurity software engineering team focused on state-of-the-art distributed computing with Apache Spark.

You will design and optimize data models and data pipelines, collaborating across cross-functional teams to deliver secure, scalable data solutions. Ideal candidates have deep experience with data architectures, Spark, and JVM languages, and a strong drive for security and privacy in data-intensive environments.

Qualifications

• 4+ years designing and implementing relational and medallion data architectures.
• 4+ years designing and implementing production data pipelines at scale.
• 4+ years proficiency with JVM languages (Scala or Java) and Spark, plus Golang or Swift.

Skills

Relational data architectures

Data pipelines at scale

JVM languages (Scala/Java)

Tools

Apache Spark

Scala

Java

Golang

Swift

Job description

San Francisco, California, United States Corporate Functions

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. We are seeking an exceptional engineer with a background in large scale software development and delivery in hyper-scale distributed computing environments. You will work within cybersecurity software engineering team that drives Apache Spark’s state‑of‑the‑art features and pushes the boundaries of what is possible in our industry.

Description

Apple is seeking an extraordinary individual to work on a team supporting and developing services which underpin mission critical information security capabilities. Spark expertise is a prerequisite. While previous experience in information security is not required, a sincere drive for security and privacy is required. This role will work closely with our engineering teams and with partner teams to ensure the successful design, development, and delivery of product objectives. The successful candidate will have a passion for technical excellence and team collaboration with a heavy focus on using cutting‑edge technologies to build data intensive systems, designing and optimizing data models, and collaborating with cross‑functional teams to solve complex data challenges.

Minimum Qualifications

• 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

Preferred Qualifications

• 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

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 $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.