Walmart · Bentonville, AR

Salary
Posted
Jul 2, 2026
Location
Bentonville, AR
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

This role centers on the technical leadership and ongoing development of an enterprise-scale labor optimization platform used across fulfillment and distribution centers. Day-to-day work involves building and maintaining data pipelines, microservices, REST and GraphQL APIs, and optimization engines, primarily using Python and Java on Google Cloud Platform. It suits an analytics engineer or data scientist with strong production software experience who is comfortable bridging data infrastructure and cross-functional business needs.

Senior level · 3+ years · Fayetteville-Springdale-Rogers, AR · Full-time

Must have (9)
PythonSQLFastAPI, Flask or DjangoRESTGraphQLBigQuery, Snowflake or RedshiftGCPKubernetesCI/CD
Nice to have (6)
JavaSpring Bootmicroservicesscikit-learn, TensorFlow or PyTorchSparkScala

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 2 people in the Fayetteville-Springdale-Rogers, AR area plausibly meet what this posting asks for (data scientists). range 1–3

Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.

What gives you an edge
GraphQL12%GCP13%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%SQL72%CI/CD45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $128,352 (middle half $109,854–$139,052).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (6)

This role sits at the intersection of data science and software engineering. The 'What you'll bring' section emphasizes production data pipelines, API design, cloud infrastructure, and microservices alongside analytics and optimization — making it a genuine hybrid. 15-2051 (Data Scientists) was chosen as primary because the title, team context (Supply Chain Finance Data Science), and optimization/analytics platform framing are the dominant signals; 15-1252 (Software Developers) is a strong runner-up given the depth of software engineering requirements.

Java/Spring Boot and microservices are listed in the 'What you'll bring' section but framed with 'familiarity with' (Java/Spring Boot) rather than firm gating language, so they are marked preferred.

The minimum qualification offers three options: (1) Bachelor's + 3 years, (2) Master's + 1 year, or (3) 5 years' experience with no degree. Because equivalent experience is explicitly accepted in lieu of a degree, the degree requirement is set to None. The overall years minimum reflects the lowest experience gate (3 years under Option 1).

Cloud Storage and Cloud Run are GCP sub-services captured under the canonical 'GCP' skill; Kubernetes is listed separately as it is a distinct, named platform requirement.

Preferred qualifications mention scikit-learn, TensorFlow, and PyTorch (open-source ML frameworks), as well as Spark and Scala, all under the explicitly labeled 'Preferred Qualifications' section.

No compensation figures are stated in the posting.

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