Job Details

Role Number: 200641667-0157

Summary

Do you love thinking analytically? Are you passionate about using your financial knowledge to navigate complex challenges? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As part of this group, you’ll play an integral role in ensuring our day-to-day financial health. You and your team will support Apple’s growth, both top and bottom line, by applying the same level of innovation toward financial matters as we do toward our products and services. You’ll also collaborate with Apple teams across the world to develop more effective investment strategies and risk management. Finance is essential to upholding our global commitment to excellence, and it is directly responsible for shaping the company’s future. Join us, and you’ll have a meaningful role in continuing Apple’s legacy of efficiency and success.

Description

We are looking for a skilled Data Engineer with a proven track record in building and troubleshooting issues in complex data sets from multiple data sources. This role requires candidate with hands-on expertise in advanced SQL scripting, ETL methodologies, data visualization, data validations, and problem-solving skills to uncover insights and drive business decisions.

Minimum Qualifications

• 7+ years of applied experience in data engineering, business analytics, or business intelligence roles.

• Strong proficiency in SQL and R/Python (pandas, NumPy, scikit-learn).

• Hands-on experience in Dataiku Data Modeling platform.

• Experience with data modeling, transformation, and analytics frameworks such as Snowflake.

• Skilled in building data visualizations using Tableau, and presenting insights to diverse audiences.

• Experience delivering end-to-end analytical projects, from scoping to presentation.

• Excellent communication and collaboration skills, including translating data insights for business stakeholders.

• Bachelor’s degree in a quantitative or technical discipline.

Preferred Qualifications

• Hands-on experience with Snowpark, PySpark, and streaming/interactive visualization tools such as Streamlit or Plotly.

• Background in SMB, product, or service analytics, including service performance, warranty trends, and support operations.

• Applied experience with software engineering workflows, including Git, CI/CD, and producing maintainable, well-documented code.

• Experience developing custom Tableau extensions or deploying LLM-powered analytics systems.

• Strong experience in storytelling with data, translating complex analyses into actionable recommendations for leadership.

• Familiarity with large-scale data platforms and scalable analytical pipelines.

• Master's degree in a quantitative or technical discipline.

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) .