Hiring: Staff, Data Engineer - Customer Insights & GenAI Company: Walmart Location: Bentonville, AR Job Posted Time: 2026-09-09 22:39:37 Employment Type: Full-time Target Skills & Keywords : Accessibility, BigQuery, Data Lake, Docker, ETL, GCP, Kubernetes, LLM, Machine Learning, Make, MySQL, PostgreSQL, Python, R, RAG, SAFe, SQL, WCAG About the job Experience: •3 years' experience in data engineering, database engineering, business intelligence, or business analytics. Required Skills: •Analyze complex business problems and recommend scalable data, analytics, and AI-driven solutions to deliver measurable business impact. •Architect and build scalable data and AI platform solutions for large-scale structured and unstructured customer feedback datasets. •Partner with Product, Ecommerce, Operations, and business teams to generate actionable insights and improve customer experience outcomes. •Design and develop AI-powered Voice of Customer (VoC) solutions, including GenAI and Agentic AI workflows that enable proactive insights, intelligent recommendations, and automated decision support. •Build and operationalize intelligent agents leveraging LLMs, Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge systems to enhance customer and business intelligence capabilities. •Select and apply appropriate analytical, ML, and AI modeling techniques for complex business problems involving high-volume, multi-source data ecosystems. •Employ modern ML, LLM, GenAI, and Agentic AI frameworks, tools, and platforms to accelerate intelligent automation and customer insight generation. •Successfully navigate ambiguity and rapidly changing priorities in a fast-paced, customer-centric environment. Qualifications: •Passion for solving complex business problems with a strong analytical mindset, critical thinking, and data-driven decision-making skills. •Strong analytical, diagnostic, and problem-solving capabilities with the ability to translate ambiguous business needs into scalable technical solutions. •Strong technical expertise in SQL, Python, R, or other programming languages commonly used in data engineering, analytics, and AI development. •Experience designing and building large-scale data platforms and modern data environments including data lakes, warehouses, and cloud-native architectures. •Applied hands-on capability in cloud technologies such as GCP (BigQuery, Data studio, GCS) and modern distributed processing frameworks. •Demonstrated capacity to design and manage both relational (e.g., PostgreSQL, MySQL) and non-relational databases. •In-depth knowledge of software engineering principles with experience developing, deploying, and maintaining production-grade data and AI solutions. •Experience working with large-scale structured and unstructured datasets to generate insights, build intelligent data products, and tell compelling stories using data. •Strong expertise in Machine Learning, Data Science, Generative AI, LLMs, and emerging Agentic AI frameworks and workflows. •Strong Knowledge in Data Ingestion framework and orchestration tools. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!