Apple
Senior Data Engineer
$142K–$278K
San Francisco, California +2 · Senior · Full-time · Posted Jan 27, 2026
- Location
- San Francisco, California
Seattle, Washington
Sunnyvale, California - Experience
- Minimum 4+ years in specified architecture, pipeline, and programming areas; preferred qualifications include 5+ years in several areas.
About the job
Develop and support large-scale data services and pipelines that underpin mission-critical information security capabilities, using Apache Spark and collaborating across engineering teams.
What you'll do
- Design and implement data architectures and production data pipelines at scale.
- Develop data-intensive systems, optimize data models, and deliver product objectives with partner teams.
- Support cybersecurity services and contribute to Spark features.
What they ask for
- 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 preferred), Spark, Golang, or Swift.
- Apache Spark expertise; drive for security and privacy.
Nice to have
- 5+ years in data engineering, data modeling, JVM languages, or big data platforms.
- Familiarity with ML/AI workflows and feature engineering; other preferred areas include knowledge graphs, cloud compute, mentoring, data quality, and governance.
Pay
$150,400 and $277,600 USD base salary; $142,300 and $263,300 USD base salary
Tools
Apache Spark, Scala, Java, Golang, Swift, OpenStack, AWS, Azure
AI focus
Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases is preferred.
Model-written summary · the original posting is authoritative