> Markdown version of [/jobs/ext/3565729-data-engineer](https://www.wearedevelopers.com/jobs/ext/3565729-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Sam's Club - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $117,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Java (Programming Language), Web Accessibility, Artificial Intelligence, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Engineering, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Structures, Data Systems, Distributed Computing Environment, Fault Tolerance, Data Flow Control, Graph Database, Python (Programming Language), Open Source Technology, DataOps, Software Engineering, SQL Databases, Unstructured Data, Web Content Accessibility Guidelines, Workflow Management Systems, LangChain, Large Language Models, Multi-Agent Systems, Apache Spark, Llamaindex, Generative AI, Agentic-AI, Data Layers, Pyspark, Information Technology, Druid, CrewAI, Apache Kafka, Spark Streaming, Presto, Data Pipelines - **Published:** October 3, 2026 - **Apply:** https://www.themuse.com/jobs/walmart/senior-data-engineer-6e5503 ## About the Role * 4-6 years of experience in Big Data development with a focus on scalable, fault-tolerant architectures. * 2-3 years of hands-on experience with cloud platforms such as GCP or Azure, including services like BigQuery, Dataflow, Pub/Sub, or equivalent. * Strong foundation in data engineering best practices and experience building complex data pipelines optimized for agent consumption. * Experience designing and implementing semantic layers or knowledge graphs that could power data-aware AI agents. * Proven experience in data modeling and architecture, with awareness of how data structures affect retrieval quality and contextual relevance for agents. * Exposure to LLM-driven workflows, prompt templating, or orchestration tools (e.g., LangChain, LlamaIndex, CrewAI) is beneficial but not required. * Understanding of data governance, including quality, access control, and lineage-especially in the context of agent auditability and trust. * Experience writing clean, testable code in Python, Java, or Scala; experience with PySpark/Spark for distributed data processing. * Demonstrated ability to write optimized, scalable SQL and to work with large datasets across cloud-native and open-source platforms. * Familiarity with tools like Kafka, Spark Streaming, Druid, and Presto, and how they interact in real-time or hybrid data systems., Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related field. 2 years' experience in data engineering, database engineering, business intelligence, or business analytics. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. ## Description What you'll do... You have a deep interest and passion for technology. You have a passion to drive critical business initiatives with Data. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision- making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities. About Team: Sam's Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivaled by traditional retail. Sam's Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and a portfolio of business operations support services. What you'll do: * Design, build, test, and deploy scalable, intelligent data solutions that support millions of Sam's Club customers-while laying the groundwork for Agentic AI systems that consume and act on this data. * Partner with engineering, AI/ML, and product teams to ensure data services are discoverable, trustworthy, and consumable by next-gen AI agents and LLM-based systems. * Collaborate across Sam's Club engineering teams to contribute to a data-first, agent-aware architecture and foster a culture of innovation around intelligent automation. * Engage with Product Management and Business teams to prioritize data products that will drive autonomous decision-making and context-rich recommendations. * Build features that enable seamless integration between structured/unstructured data and downstream AI agents, enabling smarter responses, faster insights, and automation. * Deploy and monitor products on cloud platforms with agent observability, telemetry, and auditability in mind. * Develop and implement best-in-class data health monitoring, traceability, and context enrichment processes to ensure data used by agents is reliable and governed. * Lead technical solutioning for full-lifecycle projects, with an eye on how data will power autonomous workflows, co-pilots, and multi-agent systems. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [What is Agent Memory? - William Lyon](https://www.wearedevelopers.com/videos/1846-what-is-agent-memory-william-lyon) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Building Scalable Multi-Agentic AI Systems in Java: Orchestrating Agents with Event-Driven Approach](https://www.wearedevelopers.com/videos/1967-building-scalable-multi-agentic-ai-systems-in-java-orchestrating-agents-with-event-driven-approach) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)