(USA) Senior, Data Engineer - Full Stack

About the role

You have a deep interest and passion for technology, with a focus on driving critical business initiatives with Data. You love writing and owning code and enjoy working with people who challenge you at every stage. You possess strong problem-solving, analytic, and decision-making skills, along with excellent communication and interpersonal abilities. You are self-driven, motivated, and thrive in a fast-paced, results-driven agile environment with varied responsibilities.

About the team

Sam's Club is a membership warehouse club offering high-quality products at unrivaled prices. The team develops and leads technologies and services such as Scan & Go, Club Pickup, and home delivery. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and business operations support services.

Responsibilities

• 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.

Requirements

• 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.
• 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 (Azure SQL) and NoSQL (Cosmos, Cassandra, MongoDB) databases in both 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 both frontend and backend components.
• A demonstrated ability to design and maintain scalable, reliable, high-performing Full Stack applications.
• Success building enterprise-level systems that include both user-facing interfaces and backend services.
• Strong experience with API design, performance optimization, and scalable solution development across the full stack.

Qualifications

Minimum Qualifications:

• 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:

• 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.
• 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.

Benefits

• Health benefits: Medical, vision, and dental coverage.
• Financial benefits: 401(k), stock purchase, and company-paid life insurance.
• Paid time off: PTO, parental leave, family care leave, bereavement, jury duty, and voting. Additional PTO/PPTO for vacation, sick leave, holidays, or other purposes, depending on job classification and length of employment.
• Other benefits: Short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Education benefits: Live Better U program offers fully paid education benefits, including high school completion, bachelor’s degrees, English Language Learning, and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For more information, see One.Walmart.

Pay

The annual salary range for this position is $117,000.00 - $234,000.00. Additional compensation includes annual or quarterly performance bonuses and may also include Regional Pay Zone (RPZ) adjustments based on location.

Primary location: 1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America.