Software Engineer III

Walmart•Bentonville, AR

1d•Onsite

About The Position

We are looking for a highly skilled and forward-thinking Software & AI Engineer to join our team and lead the development of scalable, intelligent data solutions. This role blends traditional data engineering with cutting-edge AI capabilities to support advanced analytics, forecasting, and operational reporting in a multi-cloud retail environment. You will work on building robust data pipelines, deploying AI-powered workflows, and integrating agentic systems to drive business outcomes. In the Data Engineering team, we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster. At Walmart Global Tech, one line of code can make life easier for hundreds of millions of people. We are a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. We are people-led and tech-empowered, training our team in the skillsets of the future and bringing in experts to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Requirements

Strong proficiency in Python, PySpark, SQL, and shell scripting.
Hands-on experience with GCP services: Dataproc, BigQuery, Cloud Functions, Cloud Dataflow, Cloud Storage, Vertex AI.
Familiarity with Azure Data Factory, Snowflake, and multi-cloud orchestration.
Experience with CI/CD tools: Jenkins, GitHub, Azure DevOps.
Solid understanding of data warehousing, ETL processes, and data modeling.
Practical experience with LangChain, LangGraph, RAG architectures, and Agentic AI systems.
Knowledge of retail domain data flows and key performance indicators (KPIs).
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5+ years of experience in data engineering/software engineering, with at least 4 years on GCP.
Demonstrated ability to work with integrity, respect for individuals, and a customer-first mindset.
Proven track record of collaboration, continuous learning, and striving for excellence.
Option 1: Bachelor'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.
Option 2: 4 years’ experience in software engineering or related area.

Nice To Haves

Google Professional Data Engineer certification is a plus.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area.
Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
Knowledge of accessibility best practices and joining us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

Design, build, and optimize data pipelines using PySpark, Apache Spark, and Airflow for orchestration.
Develop and deploy workflows on Google Cloud Platform (GCP) using Dataproc, Cloud Scheduler, Cloud Storage, and BigQuery.
Implement multi-cloud data architectures integrating Azure, GCP, and Snowflake for data lakes and warehouses.
Ensure data quality, lineage, and governance using tools like Apache Hudi, GitHub Actions, and Terraform.
Collaborate with cross-functional teams to support retail analytics, forecasting, and operational reporting.
Monitor and troubleshoot data pipeline performance and reliability across environments.
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.
Leverage Vertex AI, Cloud Functions, and Dataflow to operationalize machine learning models and AI agents.
Contribute to continuous improvement initiatives and adopt new digital tools and methodologies.

Benefits

Incentive awards for your performance.
401(k) match.
Stock purchase plan.
Paid maternity and parental leave.
PTO (including sick leave).
Multiple health plans (medical, vision, dental coverage).
Performance-based bonus awards.
Company-paid life insurance.
Family care leave.
Bereavement.
Jury duty.
Voting.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
Live Better U (Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities, covering tuition, books, and fees for programs ranging from high school completion to bachelor's degrees, including English Language Learning and short-form certificates).