Sr. Software Engineer (Data), Ai & Data Platforms

Apple - Austin, TX

Full-time - Mid Level

Austin, TX

Computer and Electronic Product Manufacturing

About the position

The Sr. Software Engineer (Data) position at Apple focuses on building high-quality, scalable, and resilient distributed systems that power the company's cloud analytics platforms and data pipelines. This role is integral to supporting various business functions by enabling real-time and batch analytical solutions, which are crucial for decision-making across departments such as Sales, Operations, and Marketing. The ideal candidate will thrive in a fast-paced environment, tackling infrastructure challenges and implementing innovative solutions while collaborating closely with internal customers.

Responsibilities

• Engineer high-quality, scalable, and resilient distributed systems on cloud.
• Build solutions that integrate open source software with Apple's internal ecosystem.
• Drive development of new components and features from concept to release, including design, build, test, and ship.
• Work closely with internal customers to understand their requirements and workflows.
• Propose new features and ecosystem changes to streamline user experience on the platform.
• Write code and design/develop applications on cloud, tuning and debugging codebase as needed.
• Support production applications and assist end users.

Requirements

• 7 or more years of experience building enterprise-level applications on large-scale distributed systems.
• Bachelor's degree in Computer Science or equivalent experience.
• Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake or Big Query or Cloudera.
• Proficiency in at least one programming language: Python, Scala, or Java.
• Strong hands-on experience in designing and developing cloud-based applications, including large scale compute services, database services, APIs, ETL, queues, and notification services.
• Experience in developing highly optimized SQLs, procedures, and semantic processes for distributed data applications.

Nice-to-haves

• Experience in Enterprise-ready Cloud Data-Warehousing platforms like Snowflake.
• Hands-on knowledge of Spark cluster-computing framework & Kubernetes or similar containerization technologies.
• Experience developing Big Data applications using Java, Spark, Kafka.
• Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving.
• Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud.
• Proficient in data visualization tools such as Streamlit, Superset, Tableau, Business Objects, and Looker.
• Working experience on generating and visualizing data insights, metrics, and KPIs, including usage of basic ML models for anomaly detection and forecasting.

Benefits

• Health insurance coverage
• 401k retirement savings plan
• Paid holidays
• Flexible scheduling
• Professional development opportunities