{"id":3749970,"url":"https://alion.io/job/walmart-senior-data-engineer-5","title":"Senior Data Engineer","company":{"id":236,"name":"Walmart","domain":"walmart.com","url":"https://alion.io/company/walmart","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":343,"ghost_share":0,"stale_share":0.117,"repost_share":0.003,"time_to_fill_p50_days":5,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Presto","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"Vue.js","optional":false},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-07T13:28:48Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Position Summary...\nWhat you'll do...\nWhat 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. \nPartner 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. \nCollaborate across Sam’s Club engineering teams to contribute to a data-first, agent-aware architecture and foster a culture of innovation around intelligent automation. \nEngage with Product Management and Business teams to prioritize data products that will drive autonomous decision-making and context-rich recommendations. \nBuild features that enable seamless integration between structured/unstructured data and downstream AI agents, enabling smarter responses, faster insights, and automation. \nDeploy and monitor products on cloud platforms with agent observability, telemetry, and auditability in mind. \nDevelop and implement best-in-class data health monitoring, traceability, and context enrichment processes to ensure data used by agents is reliable and governed. \nLead technical solutioning for full-lifecycle projects, with an eye on how data will power autonomous workflows, co-pilots, and multi-agent systems. \nWhat you'll bring: \n4-6 years of experience in Big Data development with a focus on scalable, fault-tolerant architectures. \n2-3 years of hands-on experience with cloud platforms such as GCP or Azure, including services like BigQuery, Dataflow, Pub/Sub, or equivalent. \nStrong foundation in data engineering best practices and experience building complex data pipelines optimized for agent consumption. \nExperience designing and implementing semantic layers or knowledge graphs that could power data-aware AI agents. \nProven experience in data modeling and architecture, with awareness of how data structures affect retrieval quality and contextual relevance for agents. \nExposure to LLM-driven workflows, prompt templating, or orchestration tools (e.g., LangChain, LlamaIndex, CrewAI) is beneficial but not required. \nUnderstanding of data governance, including quality, access control, and lineage-especially in the context of agent auditability and trust. \nExperience writing clean, testable code in Python, Java, or Scala; experience with PySpark/Spark for distributed data processing. \nDemonstrated ability to write optimized, scalable SQL and to work with large datasets across cloud-native and open-source platforms. \nFamiliarity with tools like Kafka, Spark Streaming, Druid, and Presto, and how they interact in real-time or hybrid data systems. \nSolid software engineering experience across backend and frontend development. \nAdvanced experience with Java and Spring Boot, along with strong experience using modern frontend frameworks such as React, Angular, or Vue.js. \nExperience working with SQL (Azure SQL) and NoSQL (Cosmos, Cassandra, MongoDB) databases in both backend services and Full Stack systems. \nHands-on experience with Kafka, Docker/Kubernetes, and cloud platforms such as Azure, and GCP. \nA strong understanding of DevOps principles, CI/CD pipelines, system observability, and deployment patterns for applications with both frontend and backend components. \nA demonstrated ability to design and maintain scalable, reliable, high-performing Full Stack applications. \nSuccess building enterprise-level systems that include both user-facing interfaces and backend services. \nStrong experience with API design, performance optimization, and scalable solution development across the full stack. \nAt Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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 (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.\nYou will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.\nFor information about PTO, see https://one.walmart.com/notices.\nLive Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. \nEligibility 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. \nFor information about benefits and eligibility, see One.Walmart.\nThe annual salary range for this position is $117,000.00 - $234,000.00\nAdditional compensation includes annual or quarterly performance bonuses.\nAdditional compensation for certain positions may also include : \n- Stock\nㅤ\nㅤ\nㅤ\nㅤ\n\nMinimum Qualifications...\nOutlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.\nOption 1: Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years’ experience insoftware engineering or related field. Option 3: Master's degree in Computer Science and 1 year’s experience in software engineering or related\nfield.\n2 years' experience in data engineering, database engineering, business intelligence, or business analytics.\nPreferred Qualifications...\nOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.\nData 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.Primary Location...\n1275 Crossman Ave, Sunnyvale, CA 94089-1103, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. 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