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Walmart

Sells groceries and essentials in stores and online

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science and 3 years of experience in software engineering or a related field, or 5 years of experience in software engineering or a related field, or a Master's degree in Computer Science and 1 year of experience in software engineering or a related field.
  • At least 2 years of experience in data engineering, database engineering, business intelligence, or business analytics.
  • 4–6 years of experience in Big Data development, focusing on scalable, fault-tolerant architectures.
  • 2–3 years of hands-on experience with cloud platforms such as GCP or Azure, including BigQuery, Dataflow, Pub/Sub, or equivalent services.
  • A 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.
  • Experience in data modeling and architecture, with awareness of how data structures affect retrieval quality and contextual relevance for agents.
  • 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, and experience with PySpark or Spark for distributed data processing.
  • Ability to write optimized, scalable SQL and work with large datasets across cloud-native and open-source platforms.
  • Familiarity with Kafka, Spark Streaming, Druid, and Presto, and how these tools interact in real-time or hybrid data systems.
  • Solid software engineering experience across backend and frontend development.
  • Advanced experience with Java and Spring Boot, along with strong experience using modern frontend frameworks such as React, Angular, or Vue.js.
  • Experience working with SQL databases such as Azure SQL and NoSQL databases such as Cosmos, Cassandra, and MongoDB in backend services and Full Stack systems.
  • Hands-on experience with Kafka, Docker/Kubernetes, and cloud platforms such as Azure and GCP.
  • A strong understanding of DevOps principles, CI/CD pipelines, system observability, and deployment patterns for applications with frontend and backend components.
  • Demonstrated ability to design and maintain scalable, reliable, high-performing Full Stack applications.
  • Experience building enterprise-level systems that include user-facing interfaces and backend services.
  • Strong experience with API design, performance optimization, and scalable solution development across the full stack.

Responsibilities

  • Design, build, test, and deploy scalable, intelligent data solutions that support millions of Sam’s Club customers and lay the groundwork for Agentic AI systems that consume and act on the data.
  • Partner with engineering, AI/ML, and product teams to ensure data services are discoverable, trustworthy, and consumable by AI agents and LLM-based systems.
  • Collaborate across Sam’s Club engineering teams to contribute to a data-first, agent-aware architecture and foster innovation around intelligent automation.
  • Engage with Product Management and Business teams to prioritize data products that drive autonomous decision-making and context-rich recommendations.
  • Build features that enable seamless integration between structured and unstructured data and downstream AI agents.
  • Deploy and monitor products on cloud platforms with agent observability, telemetry, and auditability in mind.
  • Develop and implement 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, considering how data will power autonomous workflows, copilots, and multi-agent systems.

Desired Qualifications

  • Exposure to LLM-driven workflows, prompt templating, or orchestration tools such as LangChain, LlamaIndex, or CrewAI.
  • A Master's degree in Computer Science or a related field and 3 years of experience in software engineering.
  • A background in creating inclusive digital experiences, including knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility into products and services.

About the Company

Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

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