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Apple AIML - Data Engineering Manager Integration & Delivery United States, California, Cupertino 906536196
01.06.2024
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Description
In this role, you will be leading our work building our data infrastructure as needed, leading data modeling and ETL effort, owning APIs that serve data to real-time and aggregated dashboards, growing and mentoring promising junior engineers, as well as setting a high bar for both engineering practices on the team and data quality. You will be expected to build a deep understanding of our overall engineering experience, CI/CD practices, and our data landscape and bring everything together. You will be the ultimate owner of all our data and guarantee its speed, availability, quality, and usability. You will collaborate closely with Data Scientists, UI Engineers, Backend Engineers, and Device Engineers, as well as with senior leadership.
Key Qualifications
- 6+ years experience in architecting, designing, and developing large-scale data solutions.
- 6+ years experience in building and maintaining large-scale ETL/ELT pipelines (batching and/or streaming) that are optimized for performance and can handle data from various sources, structured or unstructured.
- 3+ years of experience leading data engineers and software engineers
- Deep understanding of distributed data processing frameworks such as Hadoop, Spark, and Flink
- Deep experience with both batch data and real-time data processing
- Proficiency in various data modeling techniques, such as ER, Hierarchical, Relational, or NoSQL modeling.
- Expertise in Java, Python, Unix Shell scripting, and Dependency driven job schedulers
- Proven track record of mentoring and growing junior talent
Education & Experience
Bachelor's Degree or equivalent experience in computer science or a related field
Additional Requirements
- - Outstanding ability to communicate, simplify problems, and drive towards a solution
- - Ability to thrive in a complex and constantly changing environment.
- - A strong sense of data ownership, being willing to guarantee data quality even if it originates from sources you don’t directly control
- - Outstanding ability for cross-functional collaboration and driving large-scale projects
- - Ability to work on both internal data emanating from engineering systems and very large-scale data emanating from devices
- - Capacity to translate business requirements into technical solutions.
- - Experienced in leading teams that write and maintain high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration.
- - Good time management skills and can incrementally deliver to tight schedules.
- - (plus but not required) Deep Understanding of ML Processes, Operations, and Software CI/CD
- - (plus but not required) Familiarity with Data Science
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 $210,900 and $316,900, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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