Staff, Data Engineer - Customer Insights & GenAI

Walmart•Bentonville, AR

2d•$110,000 - $220,000•Onsite

About The Position

As a Staff Data Engineer, you will lead data-driven projects and platform initiatives while taking ownership of end-to-end technical delivery. You will serve as the technical expert for your team and work closely with product stakeholders and senior leadership to align on strategic priorities and deliver measurable business outcomes. This role will play a critical part in transforming customer survey and feedback data into actionable business intelligence by building scalable data and AI platform capabilities that power intelligent automation, GenAI-powered experiences, and Agentic AI workflows across customer and business operations. You will lead the development of next-generation Voice of Customer (VoC) solutions, including AI-powered VoC Agents that leverage structured and unstructured customer feedback to generate proactive insights, identify emerging trends, and enable data-driven decision-making across the enterprise. Operating at the intersection of large-scale distributed data platforms, near real-time intelligence, and AI-powered decision systems, you will help deliver advanced automation, intelligent insights, and enhanced customer experiences that drive impact across Walmart’s ecosystem. About the Team: By bringing the objective voice of the Walmart customer to all aspects of the business, the Customer Insights team is the trusted source of integrated customer insights for Walmart. The MyCustomer team brings the voice of the Walmart customer into every aspect of the business by delivering actionable customer insights and experience intelligence at enterprise scale. Our team builds scalable data and AI-driven platforms that transform customer feedback into meaningful insights, enabling teams across Walmart to make faster, customer-centric decisions. We are focused on modernizing the VoC ecosystem through advanced analytics, GenAI-powered experiences, and Agentic AI capabilities. As part of this team, you will help develop next-generation AI-powered VoC solutions that convert structured and unstructured customer feedback into proactive insights, trend detection, and intelligent recommendations that drive business impact across Walmart.

Requirements

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.
Hands-on experience with cloud technologies such as GCP (BigQuery, Data studio, GCS) and modern distributed processing frameworks.
Ability to design and manage both relational (e.g., PostgreSQL, MySQL) and non-relational databases.
Strong understanding 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.
Basic understanding of Docker and Kubernetes for application deployment.
Strong debugging, data analysis and optimization abilities.
Experience building or integrating AI-powered agents using technologies such as RAG, semantic search, vector databases, prompt engineering, orchestration frameworks, and enterprise knowledge systems.
Excellent communication and collaboration skills with the ability to effectively communicate technical concepts and AI-driven insights to both technical and non-technical stakeholders.
Bachelor’s degree in Computer Science and 4 years' experience in software engineering or related field OR 6 years’ experience in software engineering or related field OR Master's degree in Computer Science and 2 years' experience in software engineering or related field.
3 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Nice To Haves

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud
Master’s degree in Computer Science or related field and 4 years' experience in software engineering or related field
Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
Knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

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.
Present technical solutions and business insights effectively to both engineering and executive leadership audiences.
Influence and promote a strong culture of data curiosity, AI innovation, and engineering excellence across teams and stakeholders.

Benefits

Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO (including sick leave)
Parental leave
Family care leave
Bereavement
Jury duty
Voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Live Better U (Walmart-paid education benefit program for full-time and part-time associates)