Apple - Senior Data Engineer, SWE Operations & Planning

Database Developer is needed in Cupertino, United States.

Client: Apple

Location: Cupertino, CA

Contract: undefined

Job Description

Apple’s Engineering Operations and Planning team within Software Engineering (SWE) is seeking a data engineer to enhance and innovate on existing data infrastructure. The role aims to improve efficiency, process, and standardization by building scalable data pipelines and repositories. The successful candidate will work independently and collaboratively with a diverse team to design and implement large-scale data systems that are agile, interoperable, simple, and reusable.

Requirements

Preferred Qualifications:

• Experience with Ruby, Rails, PostgreSQL, Snowflake, Kubernetes, Tableau or similar technologies.
• Experience with enterprise resource planning (ERP) systems such as human resources information, real estate development, or finance systems.
• Demonstrates professionalism and can translate business requirements into technical solutions while handling sensitive information with integrity.
• Proficient in various data modeling techniques (ER, Hierarchical, Relational, NoSQL).
• Excellent design and development experience with SQL and NoSQL databases, OLTP, and OLAP databases.
• Proficient in Java, Scala, Python, or Unix Shell scripting and dependency-driven job schedulers.
• Experience in a complex, matrixed organization involving cross-functional projects.
• Familiarity with Apple technologies such as Xcode and Swift is a plus.
• Keen understanding of related fields like data science, machine learning, and artificial intelligence.

Minimum Qualifications:

• Bachelor’s Degree or equivalent experience in Computer Science, Engineering, Mathematics, Information Systems, Software Engineering, Data Science, Statistics, or a related field.
• 5+ years of experience in architecting, designing, developing, and maintaining large-scale ETL/ELT pipelines and data solutions.
• Deep expertise in Data Principles, Data Architecture, and Data Modeling with strong SQL skills.
• Strong problem-solving abilities with excellent organizational and time management skills, acute attention to detail.