Senior Data Engineer — AI-Ready Pipelines at Massive Scale

Apple Inc.; Cupertino (CA); On-site; USD 172,100 - 305,600; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Employee stock purchase plan

Tuition reimbursement

Job summary

Apple Inc. in Cupertino, California, is seeking a Senior Data Engineer to architect scalable data pipelines for music services. This role requires significant experience and a strategic mindset to enable advanced analytics and support AI integration.

The ideal candidate has over 7 years of experience in data engineering, excellent Python and SQL skills, and a proven ability to lead complex data projects within a collaborative environment. Apple offers competitive pay, stock options, and comprehensive benefits including health coverage and educational reimbursement.

Qualifications

• 7+ years of professional experience in data engineering or systems architecture.
• Advanced proficiency in Python and SQL.
• Expertise in distributed data processing frameworks.
• Extensive hands-on experience designing CI/CD pipelines.
• Proven ability to lead projects and drive consensus.
• Exceptional written and verbal communication skills.

Responsibilities

• Architect and deploy scalable data pipelines for Apple Music.
• Identify and integrate AI-enabled tools into data systems.
• Build robust validation frameworks for data quality.
• Partner with data scientists for structured datasets.
• Collaborate effectively across teams and translate requirements.

Skills

Python

SQL

Data Engineering

AI-Enabled Tools

Data Quality Management

Collaboration

Education

Bachelor's Degree in Computer Science, Data Engineering, Information Systems

Tools

PySpark

Data Visualization Tools

Job description

Apple Inc. in Cupertino, California, is seeking a Senior Data Engineer to architect scalable data pipelines for music services. This role requires significant experience and a strategic mindset to enable advanced analytics and support AI integration.

The ideal candidate has over 7 years of experience in data engineering, excellent Python and SQL skills, and a proven ability to lead complex data projects within a collaborative environment. Apple offers competitive pay, stock options, and comprehensive benefits including health coverage and educational reimbursement.