Senior Data Engineer

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. We are seeking an exceptional engineer with a background in large scale software development and delivery in hyper-scale distributed computing environments. You will work within cybersecurity software engineering team that drives Apache Spark’s state-of-the art features and pushes the boundaries of what is possible in our industry.
Apple is seeking an extraordinary individual to work on a team supporting and developing services which underpin mission critical information security capabilities. Spark expertise is a prerequisite. While previous experience in information security is not required, a sincere drive for security and privacy is required. This role will work closely with our engineering teams and with partner teams to ensure the successful design, development, and delivery of product objectives. The successful candidate will have a passion for technical excellence and team collaboration with a heavy focus on using cutting-edge technologies to build data intensive systems, designing and optimizing data models, and collaborating with cross-functional teams to solve complex data challenges.
<h3>Minimum Qualifications</h3>4 years+ demonstrated expertise in designing and implementing relational and medallion data architectures
4 Years+ demonstrated expertise in the design and implementation of production data pipelines at scale
4 Years+ demonstrated proficiency with JVM languages (Scala or Java preferred), Spark, Golang, or Swift
<h3>Preferred Qualifications</h3>5+ years experience in data engineering and demonstrated expertise with data modeling
5+ years of experience with JVM languages: Java or Scala
5+ years experience with big data platforms
Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases
Knowledge engineering expertise including semantic models and knowledge graphs
Experience working with cloud compute environments like OpenStack, AWS, and Azure
Experience mentoring engineers, conducting code reviews, and contributing to technical best practices and documentation
Knowledge of data quality frameworks and validation techniques
Knowledge of data governance and compliance frameworks