✦ Luna Orbit — Data & Analytics

Senior, Data Engineer

at Walmart

📍 Bentonville, AR Unknown 💰 $90K – $180K USD / year Posted March 13, 2026
Salary $90K – $180K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and implementing data pipelines, building data lakes, and developing data models to support analytics and business insights at Walmart.

  • Data Transformation and Integration
  • Data Source Identification
  • Data Modeling
  • Code Development and Testing
  • Applied Business Acumen

The technical environment includes data engineering tools such as Python, Spark, Hadoop, SQL, and data warehouse technologies, focusing on big data processing and real-time analytics.

The ideal candidate is a mid-level data engineer with experience in building data pipelines, data lakes, and data modeling. They should have strong programming skills in Python and familiarity with big data tools like Spark and Hadoop, with a growth mindset and collaborative approach.

Data Transformation and IntegrationData ModelingCode DevelopmentData PipelinesData Quality Checks
Machine LearningBig DataData Warehouse DesignData Mart DesignAnalytics Trends
SQLPythonSparkHadoopData WarehouseData Lake
Data EngineeringData PipelinesData LakesETLSQLPythonSparkHadoopData WarehouseData Modeling
Data EngineeringData PipelinesData LakesSQLData ModelingETLPythonSparkHadoopCloud PlatformsData WarehouseData MartRelational DatabasesCode DevelopmentTestingData Quality ChecksBusiness Intelligence
CreativityCuriosityDriveProblem-solvingCollaborationCommunicationGrowth mindset
Industry Retail / E-commerce
Job Function Developing and maintaining data pipelines and models for analytics
Data EngineerData PipelinesData LakesETLData ModelingSQLPythonSparkHadoopData WarehouseData MartRelational DatabasesCode DevelopmentData Quality ChecksBusiness Intelligence

Lack of experience with data pipelines or data lakes, No programming experience in Python or Spark, Inability to work in a collaborative environment

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