Data Engineer, Infrastructure Services

A technology company that creates innovative products, services, and customer experiences.
$120,000 - $180,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer, Infrastructure Services

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.

Last updated 14 days ago

Responsibilities For Data Engineer, Infrastructure Services

  • Building high-quality, scalable, and resilient distributed systems
  • Developing and maintaining data pipelines
  • Optimizing and troubleshooting codebase
  • Maintaining production applications
  • Supporting end users
  • Building cloud-based analytical and big data solutions

Requirements For Data Engineer, Infrastructure Services

Python
Java
Scala
Kafka
Kubernetes
  • BS in Computer Science, Mathematics, Statistics or equivalent experience
  • 3+ years of industry experience in Data Engineering / Data Warehousing
  • Experience in Python, SQL, and Cloud Data warehouse like Snowflake, Redshift for data modeling and query performance tuning, and optimization

Benefits For Data Engineer, Infrastructure Services

Medical Insurance
401k
  • Equal opportunity employer
  • Affirmative action

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