Software Engineer (Data Solutions), Ai & Data Platforms

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because each of us shares the belief that we can create something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.

As a Data Solutions Software Engineer, you will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.

This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.

Minimum Qualifications

Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query

Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.

Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.

Bachelor's degree in Computer Science or equivalent experience

Preferred Qualifications

2+ years of experience building enterprise-level data applications on distributed systems

Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.

Experience in cloud data warehousing platforms like Snowflake is highly valued

Experience developing Big Data applications using Java, Spark, Kafka is a huge plus

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

Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker

Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.