✦ Luna Orbit — Data & Analytics

(USA) Staff, Data Assurance Engineer

at Walmart

📍 2 Locations Unknown 💰 $132K – $264K USD / year Posted March 13, 2026
Salary $132K – $264K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role focuses on driving automation and AI initiatives to improve data security, signal quality, and operational efficiency within a retail or enterprise environment.

  • Drive automation initiatives
  • Implement AI-assisted security
  • Improve signal-to-noise ratio
  • Build predictive analytics
  • Mentor engineering teams

Involves developing automation solutions, implementing AI and ML techniques, and managing data protection strategies across cloud and enterprise platforms.

The ideal candidate is a mid-level data engineer or security specialist with experience in automation, AI, and data protection strategies. They should have strong coding skills, knowledge of cybersecurity principles, and the ability to lead technical initiatives in data assurance and analytics.

AutomationAICybersecurity principlesCodingData protection
MLPredictive analyticsCloud platformsEnterprise architectureMetricsDashboards
Cloud platformsData governance toolsSecurity tools
AutomationAIData Loss PreventionCybersecurity principlesCodingPredictive analyticsData protectionCloud platformsEnterprise architecture
Data AssuranceAutomationAIData Loss PreventionCybersecurity principlesCodingPredictive analyticsData protectionCloud platformsEnterprise architectureMetricsDashboardsReportingML
LeadershipCommunicationStakeholder managementProblem-solvingMentoring

Preferred

None specified
Industry Retail
Job Function Leading data assurance and security automation projects
Data AssuranceAutomationAIData Loss PreventionCybersecurity principlesCodingPredictive analyticsData protectionCloud platformsEnterprise architectureMetricsDashboardsReportingML

Lack of experience in automation or AI, No cybersecurity principles knowledge, Inability to work across cloud and enterprise platforms, No experience with data protection strategies, Lack of leadership or mentoring skills

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