Job Details

Data Engineer

Austin, Texas, United States

Machine Learning and AI

Summary

Posted: Jun 24, 2025

Weekly Hours: 40

Role Number: 200607152

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 Austin, Texas. Define requirements for data captured across support processes and applications. Partner with other organizations to ingest and validate data. Assist in educating consumers in applying the data optimally. Create custom application-based solutions for managing machine learning data inputs. Optimize database views for performance and stability. Validate test data from internal applications in both UAT and production. Triage, research and respond to support requests from analytics organizations regarding data warehouse issues. Build automated data pipelines to migrate information between systems. Implement support strategies to achieve operational support goals – not limited to the Data Readiness organization. Develop and publish documentation for assigned projects. Present to leadership on updates, new ideas, and discuss technical solutions to business challenges. Maximize data development using appropriate tools, standard methodologies, and techniques – through cost-savings, process improvement and/or infrastructure enhancements. 40 hours/week.

Minimum Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Engineering or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.

• 1 year of experience with each of the following skills is required:

• Use Oracle to handle transformation in database applications.

• Use Teradata to report in database applications.

• Use Snowflake to report in database applications.

• Use Python to script.

• Use Tableau to handle visualization.

• Use Business Objects to handle supplier analyst (vendor) reporting.

• Use Kafka pipelines to transform data.

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.