AppleCare Finance Data Engineer

Apple • Austin, TX

2h

About The Position

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.

What This Job Offers

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