✦ Luna Orbit — Data & Analytics

Principal, Data Engineer

at Walmart

📍 (USA) Crossman Respect Building CA SUNNYVALE Home Office Hybrid 💰 $143K – $286K USD / year Posted March 13, 2026
Salary $143K – $286K USD / year
Type Not Specified
Experience senior
Exp. Years 10+ years
Education Not specified
Category Data & Analytics

A senior data engineering role focused on transforming Walmart's enterprise data platform, leveraging AI and cloud technologies to support global marketplace operations and analytics.

  • Transform data platform
  • Modernize data lakes
  • Develop real-time data pipelines
  • Leverage AI for data insights
  • Collaborate across teams

Involves developing scalable data pipelines, modernizing data lakes, and integrating AI workloads across cloud platforms like GCP and Azure, with a focus on real-time data processing.

The ideal candidate is a senior data engineer with over 10 years of experience in building large-scale enterprise data platforms, specializing in cloud-native environments like GCP and Azure, with expertise in real-time data processing and AI integration.

Data EngineeringEnterprise Data PlatformCloud PlatformsBigQueryStreaming Data
Agentic AIData Lake ModernizationGCPAzureServerless
GCPAzureBigQueryServerlessPub/Sub
Data EngineeringEnterprise Data PlatformBatch ProcessingStreaming DataReal-time AnalyticsAgentic AIData Lake ModernizationCloud PlatformsGCPAzureBigQueryServerlessPub/Sub
Data EngineeringEnterprise Data PlatformBatch ProcessingStreaming DataReal-time AnalyticsAgentic AIData Lake ModernizationCloud PlatformsGCPAzureBigQueryServerlessPub/Sub
LeadershipStrategic ThinkingCollaborationProblem SolvingInnovation
Industry Retail & E-commerce
Job Function Develop and modernize Walmart's enterprise data platform supporting global marketplace analytics
Role Subtype Data Engineer
Tech Domains Google Cloud Platform, Microsoft 365, Azure, Amazon Web Services, Kubernetes, Docker, Python, Java, SQL / PostgreSQL, AI & Machine Learning
Data EngineeringEnterprise Data PlatformBatch ProcessingStreaming DataReal-time AnalyticsAgentic AIData Lake ModernizationCloud PlatformsGCPAzureBigQueryServerlessPub/SubData PipelinesDistributed Systems

Lack of experience with large-scale data platforms, No familiarity with cloud-native data tools, Inability to work in a hybrid environment

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