Data Solutions Engineer, Retail Customer Insights

Data Solutions Engineer, Retail Customer Insights

Cupertino, California, United States Corporate Functions

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, we will bring together data science, research operations, and emerging technologies to directly impact decisions across all of Apple’s global direct channels.

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. Your work will directly improve the speed and depth of the insights shaping Retail’s strategic direction.

• Architect data solutions that support the full research lifecycle, including survey infrastructure, data pipelines, automated reporting systems, and AI-enabled analysis workflows
• Lead the modernization of research operations by identifying opportunities to automate manual processes, improve data quality, and accelerate time‑to‑insight across the team
• Partner closely with researchers, data analysts, and technical teams to translate business and research needs into robust, scalable technical solutions
• Deploy machine learning and NLP models to extract themes, patterns, and actionable insights from large volumes of structured and unstructured customer feedback
• Maintain the team's tooling ecosystem, ensuring systems are reliable, well‑documented, and positioned to scale with growing data volumes and business complexity
• Collaborate with other technical teams across Apple to share best practices, build on existing infrastructure, and encourage adoption of new tools and features
• Communicate technical concepts and designs clearly to both technical and non‑technical partners, supporting alignment and enabling self‑serve access to data and insights across the organization

• 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, Big Query)
• Hands‑on experience building or applying machine learning and AI techniques to real‑world data problems (e.g., NLP, LLMs, classification, clustering)

• 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

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $146,300 and $291,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees have the opportunity to become Apple shareholders through employee stock programs, including discretionary restricted stock unit awards and a discounted Employee Stock Purchase Plan.

You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and tuition reimbursement for formal education related to advancing your career s role might be eligible for discretionary bonuses, commission payments, and relocation assistance.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.