below marketmost similar roles pay hereabove market
This role pays less than
77%
of similar roles. Most pay
$174,587–$214,500
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$195k
for comparable roles.
Based on 240 similar postings.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
724 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 593 roles with salary data.
The Staff, Software Engineer joins the Data Ventures team to lead the development and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. This role involves driving the full software development lifecycle, applying cloud-native architecture principles, and ensuring technical excellence through design reviews and mentorship. You will build AI-driven applications, integrate ML components, and translate complex business needs into actionable technical requirements. The position requires proficiency in languages such as JavaScript, Python, Java, Rust, Dart, and C++. Key competencies include object-oriented programming, debugging, and continuous integration. This role specifically addresses the technical challenge of delivering scalable B2B data solutions that provide merchants and suppliers with actionable insights through reliable, efficient systems and automated features.
What does a Software Engineer earn in Arkansas?
Median $165000 from 155 postings across 3 companies.
Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones.
Drive the full software development lifecycle including coding, testing, deployment, monitoring, and maintenance.
Apply cloud-native architecture principles to build scalable, resilient, and agile systems.
Lead system design reviews to validate feasibility and ensure alignment with architectural best practices.
Build AI-driven applications by integrating ML components and automation features.
Mentor engineers and influence technical decisions to promote engineering excellence.
Translate complex business needs and user problems into actionable technical requirements.
Utilize data-driven practices to track success metrics and optimize development processes.
What we're looking for
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
Option 2: 6 years’ experience in software engineering or related area.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area (preferred).
Proficiency in languages such as JavaScript, Python, Java, Rust, Dart, and C++.
Expertise in object-oriented programming, code review, debugging, and documentation-based coding practices.
Experience integrating AI/ML components and leveraging generative AI tools to enhance software solutions.
Ability to design scalable, secure, and maintainable systems using cloud-native architecture principles.
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies (preferred).
Python
Java
C++
JavaScript
Cloud-native Architecture
Microservices
Containers
CI/CD
ML Frameworks
API Design
DevOps
System Design
Software Development Lifecycle
Software Prototyping
WCAG) 2.2 AA
Cloud-native Architecture
Python
Java
C++
JavaScript
Microservices
Containers
CI/CD
AI/ML
System Design
API Design
Software Development Lifecycle
Software Design Patterns
WCAG) 2.2 AA
Spring Boot
Cloud-native Architecture
Microservices
Containers
CI/CD
AI/ML
System Design
API Design
Observability
Software Development Lifecycle
Testing
Monitoring
WCAG) 2.2 AA
Python
TypeScript
Java
Rust
C++
Generative AI
ML Frameworks
Cloud-native Architecture
Microservices
Containers
CI/CD
Observability
API Design
Software Design Patterns
System Design
WCAG) 2.2 AA