(USA) Staff, Software Engineer
About The Position
Join Walmart as a Staff Software Engineer to lead the design, development, and deployment of scalable data platform capabilities and AI-driven applications. The role drives the full data lifecycle, applies cloud-native architecture principles, and works across teams to deliver resilient, maintainable solutions. The engineer influences technical decisions, mentors engineers, and aligns work with strategic priorities while promoting engineering excellence, innovation, and operational efficiency. The FDL - Ecomm team specializes in SAP posting and reporting of eCommerce data. It builds, tests, and maintains reliable, scalable data solutions aligned with platform and business goals. The team emphasizes technical excellence, continuous improvement, innovation, full-lifecycle delivery, operational monitoring, clear communication, accountability, and a product-driven approach. It also uses technologies such as Generative AI to improve development efficiency. The position designs and optimizes data pipelines and GCP workflows, promotes data quality, lineage, governance, and sound data modeling, and supports SAP postings and analytics. It also builds RAG solutions, integrates LangChain and LangGraph to orchestrate AI workflows and multi-agent systems, and develops Agentic AI capabilities.
Requirements
- 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.
- Understanding of data lake, data lakehouse, data warehousing, ETL, Kappa and Lambda data processing concepts, 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).
- 10+ years of experience in data engineering/software engineering, with at least 4 years on GCP.
- Ability to work with integrity, respect for individuals, and a customer-first mindset.
- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area and 4 years of experience in software engineering or a related area; or 6 years of experience in software engineering or a related area.
Nice To Haves
- Google Professional certification.
- Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or a related area and 2 years of experience in software engineering or a related area.
- Background creating inclusive digital experiences, including knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.
Responsibilities
- 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.
- Ensure data quality, lineage, governance, and use of open-table formats such as Apache Hudi and Apache Iceberg.
- Implement strong data modeling practices.
- Collaborate with cross-functional teams to support SAP postings and analytics.
- Monitor and troubleshoot data pipeline performance and reliability across environments.
- Build and deploy Retrieval-Augmented Generation (RAG) 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.
- Influence technical decisions, mentor engineers, and promote engineering excellence.
Benefits
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase plan.
- Company-paid life insurance.
- Paid time off, including sick leave.
- Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- Live Better U education benefit program, with tuition, books, and fees paid for eligible programs.
- Performance-based bonus awards, including annual or quarterly performance bonuses.
- Stock may be additional compensation for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
