Data Solutions Engineer, Retail Customer Insights

The Data Solutions Engineer will design the data infrastructure, pipelines, and machine learning workflows that power Apple Retail's research programs. By partnering closely with our team of researchers and program managers, you will help modernize how we collect, process, and share findings. Whether you are enhancing our survey systems or integrating new LLM capabilities into our analysis, your work will directly improve the speed and depth of the insights shaping Retail's strategic direction. Minimum Qualifications 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) Preferred Qualifications 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 your communications for a variety of audience types, from technical partners to senior executives