Senior Data Engineer

Role Number:
Team:
Corporate Functions

Location:

San Francisco;
Seattle;
Sunnyvale Weekly

Hours:

40

Posted:
Summary 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.

Description 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.

Minimum Qualifications 4 years+ demonstrated expertise in designing and implementing relational and medallion data architectures4 Years+ demonstrated expertise in the design and implementation of production data pipelines at scale4 Years+ demonstrated proficiency with JVM languages (Scala or Java preferred), Spark, Golang, or Swift

Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with data modeling5+ years of experience with JVM languages:
Java or Scala5+ 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 Open Stack, 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

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and…