AppleCare Finance Data Engineer

Apple • Austin, TX

20d

About The Position

AppleCare Finance Data Engineer Austin, Texas, United States Corporate Functions Summary Posted: Jan 14, 2026 Role Number: 200641667-0157 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Design and implement advanced analytical models and pipelines using SQL and R/Python.
• Develop and optimize data extraction and transformation processes to improve accessibility and performance.
• Build intuitive visualizations and dashboards to communicate insights effectively to technical and business audiences.
• Document methodologies and share analytical best practices to strengthen data culture across teams.
• Lead end-to-end analytics initiatives, from scoping and exploration to analysis, interpretation, and executive presentations.
• Support backend SQL database of a WebApp, redesign it and convert it into a Dataiku solution
• Collaborate with India based Tech Support invoicing team in rebuilding the WebApp

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees