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AIML - Sr Data Engineer, Data Operations
AIML - Sr Data Engineer, Data Operations-July 2024
Cupertino
Jul 12, 2025
About AIML - Sr Data Engineer, Data Operations

  Summary

  Posted: Nov 10, 2023

  Weekly Hours: 40

  Role Number:200515443

  We seek a data engineer to own data pipeline design, development, and support for the AIML Data Operations Analytics team. In this position, you will play a key role in expanding the team's contribution by enabling new data sources, metrics, and models that will deliver insights, support decision making, and optimize organizational performance. As a key member of our global and dynamic organization, you will have an excellent opportunity for the hands-on development of new pipelines, working with large datasets from diverse datasources, with a commitment to privacy that will require innovative approaches. You'll work collaboratively with partners across the organization to identify and deliver new sources of business value.

  Key Qualifications

  Key Qualifications

  4+ years of experience in data engineering, with demonstrated capability in distributed computing technologies (e.g. Spark), ETL, query performance optimization, and modern SDLC methods (e.g., CI/CD, {unit, integration, e2e} testing) Mastery of at least one general-purpose programming language, and SQL proficiency Passion for building and improving data pipelines that are performant, easy to maintain, and consistently deliver high-quality data products Experience in managing projects and delivering results individually and through contractors; Ability to collaborate effectively between business and analytic teams at multiple levels of the organization

  Description

  Description

  You will complement several experienced data scientists forming a team with the responsibility of enabling better decision making across the Data Operations organization and AIML. You will work independently to achieve team goals and guide others technically. Your goal will be to raise the quality and productivity of the team by building services and solutions that unlock the value of the team and the broader organization. Oversee and be the lead developer on complex data pipelining projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, and communicate status. Support existing production systems; triage issues and provide debugging and tracking support to promptly resolve them Draft schema and instrumentation requirements to enrich operational datasets for new projects, etc. Deepen and broaden relationships with peer groups and customers.

  Education & Experience

  Education & Experience

  Bachelors degree or equivalent experience in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. Advanced degree in a related field a plus.

  Additional Requirements

  Additional Requirements

  Interest and experience in analytics and data science Familiarity with the functional programming paradigm Experience with data Lakehouse architecture; working knowledge of Trino, Iceberg, and Snowflake Experience with deploying and managing CI pipeline with Jenkins or similar tools Interest in data visualization platforms (e.g., Tableau Server)

  Pay & Benefits

  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 $107,500 and $223,500, 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 other terms of the applicable plan or program.

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