Job Details

Data Engineer

Cupertino, California, United States

Sales and Business Development

Summary

Posted: Jun 05, 2025

Weekly Hours: 40

Role Number: 200608028

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Provide data and reporting requirements for new technology capabilities implemented within the platforms managed by the Channel Strategy and Operations team. Partner with Regional stakeholders to gather analytics use cases to support day-to-day operations. Identify new data points introduced within the platform, across each line of business supported and each operating system. Partner with Quality Assurance engineers to complete all data testing during new functionality user acceptance testing periods. Report any bugs and discrepancies with the engineering teams. Triage and follow up on bug fixes. Sign off on all data testing for completion and accuracy. Build and manage all operational dashboards and reports, measuring program compliance and expansion. Create logic required to calculate accurate reporting insights to inform business decisions or actions required. Validate dashboards and reports for data accuracy, fix issues, and follow up with required engineering teams as necessary. Train and onboard new users to the data set to create their own reports. Manage data dictionary for all data points for the Channel interactive technology systems. Run ad hoc data analysis using descriptive and predictive analytics models as business dictates. 40 hours/week. 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 $140,901 - $188,100/yr and your base pay will depend on your skills, qualifications, experience, and location.

PAY & BENEFITS: 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.

Minimum Qualifications

• Bachelor’s degree or foreign equivalent in Mathematics, Statistics or related field and 2 years of experience in the job offered or related occupation. Employer will accept 3 or 4 year Bachelor's degree or foreign equivalent.

• 1 year of experience with the following skill is required:

• Experience with applying regression models (logistic, polynomial, and linear) and classification models (decision trees, bayes, and random forests) statistical approaches to solve business questions.

• 2 years of experience with each of the following skills is required:

• Using data manipulation and analysis to answer quantitative business questions

• Performing end-to-end validation of new data sets used for data analysis

• Using Tableau to provide stakeholders with easy to digest and actionable insights on pre-defined KPIs that impact their business

• Using Python to load, clean and prepare raw, structured and unstructured data for data analysis and visualizations

• Using SQL to gain access to the key data sources used for all analytics projects

• Experience with applying regression models (logistic, polynomial, and linear) and classification models (decision trees, bayes, and random forests) statistical approaches to solve business questions

• Forecasting future performance of channel locations using historical data and statistical models for stakeholders

• Experience extracting, transforming and cleaning data for data analysis: building data pipelines; querying against multiple database tables, combining information through joins;

• identifying and fixing incorrect, missing or incomplete data; data visualization or analysis through pivots, staking and unstaking; and uploading cleaned data sets to a database table.

Preferred Qualifications

• N/A

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.