Data Solutions Engineer, Retail Customer Insights

Apple • Cupertino, CA

20d

About The Position

Apple’s worldwide Retail Engagement, Marketing and Merchandising (REMM) team creates and delivers programs, campaigns, initiatives, and experiences that help Apple Retail’s customers and teams discover, buy, and go further with Apple products and services. These efforts increase awareness, drive conversion, and grow affinity for Apple. Apple Retail's Customer Insights team is looking for a Data Solutions Engineer to help us build the tools and systems that transform how we listen to our customers and teams. In this role, you will bring together data science, research operations, and emerging technologies to directly impact decisions across all of Apple’s global direct channels (Apple Stores, Apple.com, the Apple Store app, and other digital platforms). As our lead architect, you will tackle complex data challenges and build the infrastructure that amplifies the reach and impact of our research.

Requirements

• 8+ years of experience in data engineering, data science, or a related technical field, with demonstrated ability to build and ship production-quality data solutions
• Proficiency in Python or R, and experience with SQL and data querying at scale (e.g., Snowflake, BigQuery)
• Hands-on experience building or applying machine learning and AI techniques to real-world data problems (e.g., NLP, LLMs, classification, clustering)

Nice To Haves

• Experience modernizing or operationalizing research or analytics workflows, including building automation pipelines and integrating AI-powered tools into existing processes
• Proficiency with data visualization and reporting platforms such as Tableau, Streamlit, and similar tools
• Exposure to survey platforms and systems (e.g., Qualtrics, Medallia) and an understanding of how survey data flows from collection through analysis
• Expertise applying large language models (LLMs) and generative AI, including practical experience integrating these technologies into data products or analytical workflows
• Familiarity with survey methodology, research concepts, and customer experience measurement (e.g., NPS, CSAT)
• Strong documentation skills, with experience creating system diagrams, data flow documentation, and technical specifications (e.g., using Miro, Lucidchart, or similar)
• Self-directed and comfortable navigating ambiguity in a fast-paced, highly matrixed environment, with the ability to manage competing priorities and adapt quickly to changing business needs
• Ability to tailor communications for a variety of audience types, from technical partners to senior executives

Responsibilities

• Design the data infrastructure, pipelines, and machine learning workflows that power Apple Retail's research programs.
• Partner closely with researchers and program managers to modernize how data is collected, processed, and shared.
• Enhance survey systems and integrate new LLM capabilities into analysis.
• Improve the speed and depth of insights shaping Retail's strategic direction.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed