Software Engineer - Data

Do you want to help define the future of delivering Apple software to customers? Join the Software Delivery – Insights & Release Technologies team and help work on new technologies that will be used to deliver Apple platforms to millions of customers. Our team has a passion for innovation and engineering and is looking for individuals with a genuine excitement to collaborate with others to solve sophisticated problems with a focus on the user experience.

Description

You will join a team working on the next generation of software release workflows that enables the software development lifecycle for an ever-growing number of platforms and teams contributing to software products. Our applications integrate with developers’ workflows to enable the software development lifecycle from integrating source code all the way to releasing Apple platforms and assets to customers. Our team is a group of engineers dedicated to reusable design and architecture, working together to deliver elegant, extensible, and high-quality engineering solutions. In this role, you will be collaborating with software developers, data engineers, and project managers to understand their requirements and translate them into scalable, reliable, and efficient data pipelines, data processing workflows, and machine learning pipelines. We are looking for individuals who share those values and want to improve and extend our services and products.

Minimum Qualifications

Technologies: Python, SQL, NoSQL, Swift or equivalent, Snowflake or equivalent, Temporal or equivalent Knowledge: data modeling, data infrastructure, analytics, problem solving, debugging, testing, writing and maintaining high quality code. Ability to translating business requirements into technical solution User-focused: passion for quality, attention to details and delivering outstanding user experiences Collaboration: excellent communication skills.

Preferred Qualifications

Experience in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures. Experience with the practical application of data warehousing concepts, methodologies, and frameworks. Experience using data processing tools and technologies such as Spark, Talend, Informatica, SSIS or DBT Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind Able to confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, and team members.