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Data Engineer - Customer Insights & GenAI

Remote / Online - Candidates ideally in
Bentonville, Benton County, Arkansas, 72712, USA
Listing for: Walmart
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-10-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 110000 - 220000 USD Yearly USD 110000.00 220000.00 YEAR
Job Description & How to Apply Below
Position: Staff, Data Engineer - Customer Insights & GenAI
Reference: R-2519116

Posted:

Location:

BENTONVILLE, AR, United States Salary: $110000 - $220000/year

Type:
Full time / Regular/Permanent Company:
Walmart Business Segment:
Home Office What you'll do:

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.

What you'll bring:

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 (Big Query, 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.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.

Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see .

Live Better U is a Walmart-paid education benefit program for full-time and part-time…
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