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This listing doesn't post a salary. Most similar roles pay
$173,137–$214,500.
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 (USA) Staff, Software Engineer joins the FDL - Ecomm team to lead the design, development, and deployment of scalable data platform capabilities and AI-driven applications. This role involves driving the full data lifecycle, building and optimizing data pipelines, and developing RAG-based AI solutions for intelligent document retrieval. You will work with Python, Scala, Apache Spark, and Airflow for orchestration, while deploying workflows on Google Cloud Platform using Dataproc, BigQuery, and Vertex AI. Key responsibilities include ensuring data quality and lineage using Apache Hudi and Iceberg, and integrating LangChain and LangGraph for multi-agent systems. The role addresses the technical challenge of SAP postings and reporting of eCommerce data, requiring expertise in data modeling, Kappa and Lambda processing, and retail domain data flows.
What does a Software Engineer earn in Arkansas?
Median $165000 from 155 postings across 3 companies.
Design, build, and optimize data pipelines using Python, Scala, Apache Spark, and Airflow.
Develop and deploy workflows on Google Cloud Platform using Dataproc, Cloud Storage, and BigQuery.
Build and deploy RAG-based AI solutions for intelligent document retrieval and contextual response generation.
Integrate LangChain and LangGraph frameworks to orchestrate complex AI workflows and multi-agent systems.
Develop Agentic AI capabilities to automate decision-making and enhance data-driven insights.
Ensure data quality, lineage, governance, and proper data modeling practices using Apache Hudi and Iceberg.
Monitor and troubleshoot data pipeline performance and reliability across various environments.
Support SAP postings and analytics by collaborating with cross-functional teams.
What we're looking for
Must have a Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area and 4 years of experience.
Alternatively, must have 6 years of experience in software engineering or a related area.
Must have 10+ years of experience in data engineering or software engineering.
Must have at least 4 years of experience working on Google Cloud Platform (GCP).
Must have strong proficiency in Python, Scala, Spark, and SQL.
Must have hands-on experience with GCP services including Dataproc, BigQuery, Cloud Functions, Cloud Dataflow, Cloud Storage, and Vertex AI.
Must have experience with CI/CD tools such as Jenkins, GitHub, and Azure DevOps.
Must have practical experience with LangChain, LangGraph, RAG architectures, and Agentic AI systems.
Must have a solid understanding of data lake, data lakehouse, data warehousing, ETL, and data modeling concepts.
Google Professional certification is a plus (preferred).
Master’s degree in a related field and 2 years of experience is preferred (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