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Apple Sr Distributed Database Engineer - Data Platform ASE 
United States, Washington, Seattle 
881413900

02.05.2024
Key Qualifications
  • Strong programming expertise with Java/Scala/C++ and scripting languages
  • A proven history of success or a showcased talent as an engineer with experience in distributed database systems.
  • Strong problem-solving skills and able to thrive in a fast-paced and dynamic environment.
  • Adaptability to learn and implement new technologies
  • A learning attitude to continuously improve self, team, and the organization
Description
As a Data Platform Engineer, you will be instrumental in constructing and maintaining the foundational infrastructure that supports diverse data engineering, analytics, and data science requirements across multiple Apple organizations.Your expertise in distributed systems, and open-source technologies like Trino/Presto and Iceberg will be crucial as you work on lakehouse architectures for petabyte-scale analytics. Your responsibilities include optimizing big data query engines for performance, enhancing the query engine to meet evolving business requirements, and actively contributing to open-source initiatives. Additionally, you will extend your impact by offering the query engine as a service on Kubernetes, catering to the diverse needs of multiple organizations within Apple and addressing a spectrum of customer feature requests, whether associated with the service or the engine.Here you’ll find that we:• Have a peaceful work environment where you can choose when to socialize and when to focus.• Provide technical guidance and mentorship as needed• Have an encouraging and growth-focused workplace culture.• Encourage you to use accrued vacation time and maintain a healthy work-life balance.• Offer excellent benefits!
Education & Experience
Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or equivalent professional experience.
Additional Requirements
  • Experience with the following are nice to have, but they are not required:
  • • Big data open-source technologies such as Trino/Presto, Spark, Druid, Iceberg or related technologies
  • • Working on lakehouse architectures
  • • Cluster management/orchestration software like Kubernetes, Spinnaker, Helm charts, Docker
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 $161,700.00 and $284,900.00, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.