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Advanced Analytics Data Engineer, AppleCare
Sunnyvale, California, United States
Support and Service
Summary
Posted: May 22, 2025
Role Number: 200606050
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 could accomplish. AppleCare Support Enablement builds the monitoring and the metrics that drives the quality of our customer experiences. Anything and everything from Emergency Satellite support to resetting passwords, we’re measuring the quality, the efficiency and the outcomes of every assisted customer support interaction.
As AppleCare Support engages with the rest of Apple to bring new Service and Support technologies to our customers, we need someone to provide focused support to our partners in IS&T, AppleCare Digital, AppleCare HW Service, and AppleCare Support Experiences. These teams are responsible for launching the support around products and services such as Apple Pay, our Satellite Technologies, Apple Account, AppleCare+ and many projects yet to come.
Description
AppleCare Support Enablement’s Forecasting and Advanced Analytics team is looking for a self-motivated and technically creative personality to be part of a technically diverse and globally distributed team. We are seeking an experienced Data Engineer to represent the needs of the forecasting, analytics and reporting teams that are key to decision making across Support.
Responsibilities include:
Work with multiple teams and support multiple future projects with widely varying timelines
Ensure that project teams remain aware of the need to capture appropriate data throughout the customer support experience
Partner with cross-functional teams to identify, create, and maintain data pipelines
Support the data science and analytics teams that are driving operational performance
Support the forecasting organization by sharing project impact assessments
Minimum Qualifications
BA/BS in data science, business analytics, statistics or other quantitative field of study
6+ years of related work experience in decision/data science, consulting, or other related business facing role
Fluency in SQL and Python
Experience building robust and scalable data processes and pipelines for modeling, analysis, and reporting
Experience working in collaborative development environments like GitHub
Preferred Qualifications
Master’s Degree in related quantitative field
8+ years of related work experience in decision/data science, preferably in an operations role
Experience working with Snowflake or similar large SQL warehouse environments
Experience with BI processes and dashboard tools like Tableau
Familiarity with unstructured data tools and formats like Splunk logs and JSON files
Ability to initiate, refine, and complete projects with minimal guidance
Ability to think critically and collaborate cross-functionally with other data engineering, data science and analytics stakeholders distilling abstract requirements into clear data product
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 $140,700 and $234,700, 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. (https://www.apple.com/careers/us/benefits.html)
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 seek to promote 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.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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