Senior Data Engineer

Are you ready to make a significant impact on Apple Services? Join Apple's Services Data Science & Analytics team as a Senior Data Engineer where you'll drive decisions that improve customer experience while respecting user privacy.

The role involves working with some of the largest e-commerce and media streaming businesses globally. You'll be responsible for designing, developing, and maintaining robust data pipelines that process massive datasets (billions of daily records) to support Apple Services analytics initiatives. The team focuses on building a comprehensive aggregate data layer enabling efficient executive reporting, customized data applications, and ML inference.

Key Responsibilities:

• Design and implement technical solutions for processing massive datasets
• Build data pipelines using Python, PySpark and SQL
• Manage evolving data schemas ensuring backward compatibility
• Collaborate with BI and Data Science teams on aggregate table design
• Integrate new tools into the team's workflow
• Provide on-call support and monitoring
• Mentor others in data engineering best practices

The ideal candidate will have:

• 5+ years of Data Engineering experience
• Strong expertise in Python, SQL, and PySpark
• Experience with data schema design and modeling
• Business Intelligence experience with tools like Tableau
• Strong critical thinking and debugging skills
• Bachelor's degree in Computer Science or related field

Benefits include:

• Competitive base pay range ($143,100 - $264,200)
• Comprehensive medical and dental coverage
• Stock options and employee stock purchase program
• Retirement benefits
• Education reimbursement
• Product discounts and free services

Join a collaborative team that values innovation and technical excellence while working on impactful projects that shape Apple's services ecosystem. This role offers the opportunity to work with cutting-edge technologies while solving complex data challenges at scale.