Senior Data Engineer – Onsite SF, Spark & Data Pipelines

Apple; San Francisco (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Discounted products and services

Educational expense reimbursement

Relocation assistance

Job summary

Apple is hiring a Senior Data Engineer in San Francisco, CA (onsite) to design and deliver data-intensive systems for cybersecurity. You will collaborate to advance Spark capabilities, build production-grade pipelines, and work with cross-functional teams to meet product objectives.

Ideal candidates have 5+ years in data engineering, strong data modeling, and experience with JVM languages (Scala/Java), Spark, and cloud platforms like OpenStack, AWS, and Azure. Relocation may be considered.

Qualifications

• 5+ years in data engineering with data modeling expertise.
• 5+ years with JVM languages Java/Scala and big data platforms.
• Experience designing production data pipelines at scale.

Responsibilities

• Collaborate to advance Spark capabilities and data problems.
• Support and develop services for mission-critical info security.
• Design, develop, and deliver data-intensive systems.
• Partner with cross-functional teams on product objectives.

Skills

Data modeling

Production data pipelines

Relational architectures

Medallion architectures

JVM languages (Scala/Java)

Apache Spark

Golang

Swift

Tools

OpenStack

AWS

Azure

Job description

Apple is hiring a Senior Data Engineer in San Francisco, CA (onsite) to design and deliver data-intensive systems for cybersecurity. You will collaborate to advance Spark capabilities, build production-grade pipelines, and work with cross-functional teams to meet product objectives.

Ideal candidates have 5+ years in data engineering, strong data modeling, and experience with JVM languages (Scala/Java), Spark, and cloud platforms like OpenStack, AWS, and Azure. Relocation may be considered.