At Apple, the Infrastructure Services Programs and Solutions team is seeking a Data Engineer to drive innovation in their data initiatives. This role focuses intensely on data engineering, with engineers primarily coding data pipelines and maintaining critical infrastructure. The position demands expertise in cutting-edge technologies and cloud data platforms, offering the opportunity to work on significant business impact projects.
The ideal candidate will be passionate about building scalable data infrastructure and solving complex data-related challenges. You'll work with advanced technologies including Snowflake, Redshift, Kafka, and Spark, while developing ETL pipelines and optimizing data workflows. The role combines technical expertise with business impact, requiring both strong engineering skills and data-driven decision-making abilities.
As a Data Engineer, you'll be instrumental in defining and delivering robust cloud-based analytical solutions. The position offers exposure to various critical initiatives and the chance to work with modern tools like Kubernetes, Docker, and various reporting tools. You'll be part of a diverse, fast-paced team where new ideas quickly transform into impactful solutions.
The role provides an excellent opportunity for growth and learning, with exposure to AI features like Snowflake's Cortex and DocAI. You'll be working in an environment that values inclusion and diversity, with the chance to see the direct consequences of your work on the business. If you're self-motivated, hardworking, and passionate about data engineering, this role offers the perfect platform to advance your career while making significant contributions to Apple's infrastructure services.