✦ Luna Orbit — Data & Analytics

(USA) Senior, Data Engineer

at Walmart

📍 2 Locations Unknown 💰 $90K – $180K USD / year Posted March 13, 2026
Salary $90K – $180K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

This role involves developing and maintaining data pipelines, creating dashboards, and analyzing large datasets to support business decision-making in an e-commerce environment.

  • Design and develop ETL pipelines
  • Build and maintain data warehouses
  • Create dashboards and reports
  • Analyze complex datasets
  • Collaborate with cross-functional teams

The technical scope includes ETL pipeline development, data warehousing, Big Data tools like Hadoop and Hive, and visualization tools such as Tableau and Power BI.

The ideal candidate is a senior data engineer with extensive experience in building ETL pipelines, working with large datasets, and creating dashboards using tools like Tableau and Power BI, with strong analytical skills.

Experience with largecomplex datasetsDesign and development of ETL pipelinesData modeling and warehousingExperience with SQL and data analysisDashboard creationExperience with Big Data and HadoopExperience with data ingestion techniquesAutomating reportsBuilding dashboards with TableauPower BILooker
Experience with data visualization toolsExperience with data automationExperience with web frameworks like React
TableauPower BILookerStreamlitReact
SQLData WarehousingETL PipelinesBig DataHadoopHiveData ModelingData AnalysisDashboardingPower BITableauLookerStreamlitReact
SQLData WarehousingETL PipelinesBig DataHadoopHiveData ModelingData AnalysisDashboardingPower BITableauLookerStreamlitReact
Problem SolvingCommunicationCollaborationData StorytellingAnalytical Thinking
Industry Retail / E-commerce
Job Function Develop data pipelines and dashboards to enable data-driven decisions
Data EngineerETL PipelinesData WarehousingBig DataHadoopHiveSQLData ModelingDashboardingPower BITableauLookerStreamlitReact

Lack of experience with ETL pipelines and data warehousing, No experience with Big Data or Hadoop, No proficiency in SQL or data analysis, No dashboarding experience with Tableau, Power BI, or Looker, Location outside of specified locations

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