below marketmost similar roles pay hereabove market
This role pays less than
71%
of similar roles. Most pay
$165,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$190k
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.
JOB TITLE: (USA) Principal, Software Engineer
As a Principal Software Engineer for the TAX360 and Tax Data Hub teams, you will serve as a senior technical leader shaping the architecture of a next-generation tax technology platform. You will solve complex engineering problems involving distributed systems, cloud platforms, data engineering, and workflow orchestration. Your daily responsibilities include translating business challenges into scalable technical strategies, leading teams through production readiness, and establishing reusable patterns for APIs and data platforms. You will utilize Python, Scala, Spark, and SQL alongside GCP services like Dataproc, BigQuery, Cloud Functions, and Vertex AI. You will also apply expertise in LangChain, RAG architectures, and Agentic AI systems. This role focuses on building a unified digital tax platform to centralize data management, improve auditability, and reduce compliance risks.
What does a Software Engineer earn in Arkansas?
Median $165000 from 155 postings across 3 companies.
Lead the architecture and technical strategy for complex, distributed applications and data platforms.
Translate business and tax-domain challenges into scalable technical strategies and architectures.
Drive architectural decisions across services, APIs, workflow engines, and cloud infrastructure.
Establish reusable patterns to enable multiple teams to build capabilities consistently.
Manage trade-offs between performance, scalability, reliability, security, and cost.
Guide engineering teams from initial experimentation through production readiness and long-term evolution.
Solve complex engineering problems spanning distributed systems, data engineering, and workflow orchestration.
What we're looking for
12+ years of experience in data engineering or software engineering.
At least 4 years of experience working with GCP.
Strong proficiency in Python, Scala, Spark, and SQL.
Hands-on experience with GCP services including Dataproc, BigQuery, Cloud Functions, Cloud Dataflow, Cloud Storage, and Vertex AI.
Experience with CI/CD tools such as Jenkins, GitHub, and Azure DevOps.
Solid understanding of data lake, data lakehouse, data warehousing, ETL, data processing concepts (Kappa & Lambda), and data modeling.
Practical experience with LangChain, LangGraph, RAG architectures, and Agentic AI systems.
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years’ experience in software engineering (preferred: Master's degree and 3 years' experience).
Java
React
GraphQL
BigQuery
CI/CD
Cloud-Native Architecture
Microservices
Containers
ML Frameworks
API Design
Observability
Distributed Systems
System Design
Cloud-native Architecture
Distributed Systems
AI/ML
CI/CD
Platform Engineering
Real-time Data Processing
Observability
Model-driven Design
AI Agents
WCAG) 2.2 AA