Sam's Club
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Senior, Data Engineer
role at
Sam's Club
Base pay range $117,000.00/yr - $234,000.00/yr
Overview Position summary and responsibilities describe a data engineering role focused on building scalable data solutions and enabling AI-powered data workflows within Sam's Club. This role collaborates with engineering, AI/ML, product teams, and business stakeholders to power autonomous decision-making and context-rich recommendations.
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 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.
What you’ll bring
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.
Benefits and additional information
Health benefits include medical, vision and dental coverage
Financial benefits include 401(k), stock purchase and company-paid life insurance
Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting
Other benefits include short-term and long-term disability, company discounts, and more
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 a specific plan or program terms.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Retail
For information about PTO, see One.Walmart.
#J-18808-Ljbffr
Senior, Data Engineer
role at
Sam's Club
Base pay range $117,000.00/yr - $234,000.00/yr
Overview Position summary and responsibilities describe a data engineering role focused on building scalable data solutions and enabling AI-powered data workflows within Sam's Club. This role collaborates with engineering, AI/ML, product teams, and business stakeholders to power autonomous decision-making and context-rich recommendations.
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 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.
What you’ll bring
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.
Benefits and additional information
Health benefits include medical, vision and dental coverage
Financial benefits include 401(k), stock purchase and company-paid life insurance
Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting
Other benefits include short-term and long-term disability, company discounts, and more
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 a specific plan or program terms.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Retail
For information about PTO, see One.Walmart.
#J-18808-Ljbffr