✦ Luna Orbit — Data & Analytics

BI Data Engineer

at Salesforce

📍 2 Locations Unknown 💰 $148K – $223K USD / year Posted March 14, 2026
Salary $148K – $223K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves developing automation frameworks, optimizing software performance, and managing infrastructure capacity using data and visualization tools like Tableau.

  • Develop automation frameworks
  • Optimize software performance
  • Plan infrastructure capacity
  • Create telemetry and visualization dashboards
  • Support performance improvements

The environment includes data engineering, performance measurement, cloud infrastructure, and automation frameworks to support scalable and efficient AI platform operations.

The ideal candidate is a mid-level data engineer with expertise in performance optimization, capacity planning, and automation frameworks, experienced in working with Tableau and cloud infrastructure to improve software performance and cost efficiency.

Experience in software performanceCapacity planningBudgetingAutomation frameworksTelemetry and visualization dashboards
Infra capacity planningFinOpsPerformance improvements
TableauCloud infrastructureTelemetry tools
Data EngineeringTableauFinOpsInfra capacity planningPerformance optimizationAutomation frameworksTelemetryVisualization dashboardsCloud infrastructurePerformance measurement
Data EngineeringTableauFinOpsInfra capacity planningPerformance optimizationAutomation frameworksTelemetryVisualization dashboardsCloud infrastructurePerformance measurement
Problem-solvingCollaborationAutomationData analysisPerformance tuning
Industry SaaS
Job Function Data engineering and performance optimization for AI platform infrastructure
Role Subtype Data Engineer
Tech Domains Tableau, AI Platform, Telemetry
Data EngineeringTableauFinOpsInfra capacity planningPerformance optimizationAutomation frameworksTelemetryVisualization dashboardsCloud infrastructurePerformance measurementPerformance improvementsAutomationData analysis

Lack of experience in data engineering or performance optimization, No familiarity with Tableau or cloud infrastructure, Inability to develop automation frameworks

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