✦ Luna Orbit — Data & Analytics

Data Engineer II

at Walmart

📍 Bentonville, AR Unknown 💰 $80K – $155K USD / year Posted March 13, 2026
Salary $80K – $155K USD / year
Type Full-Time
Experience mid
Exp. Years 2+ years
Education Bachelor's in Computer Science or related field
Category Data & Analytics

This role involves designing, building, and maintaining scalable data pipelines and data assets to support analytics, machine learning, and business intelligence initiatives.

  • Develop data pipelines
  • Optimize ETL/ELT workflows
  • Design data models
  • Implement data quality frameworks
  • Support ML feature pipelines

The position requires expertise in data engineering tools such as Python, SQL, Dataflow, BigQuery, and cloud ecosystems like GCP, with a focus on data quality, governance, and scalable processing.

The ideal candidate is a data engineer with at least 2 years of experience designing and maintaining scalable data pipelines using Python, SQL, and cloud platforms like GCP. They are skilled in data modeling, governance, and working with big data tools to support analytics and AI initiatives.

Experience developing data pipelinesProficiency with PythonStrong SQL skillsExperience with cloud data ecosystems
Experience with AirflowExperience with DataflowKnowledge of data lake architecturesExperience with KafkaSupporting ML feature pipelines
AirflowDataflowBigQueryMongoDBGCP
Data pipelinesETLELTSQLPythonDataflowBigQueryMongoDBData modelingData governance
Data pipelinesETLELTSQLPythonDataflowBigQueryMongoDBData modelingData governanceMetadata managementCloud data ecosystemsStreaming dataKafka
CollaborationProblem-solvingCommunicationAnalytical thinkingTeamwork
Industry Retail/E-commerce
Job Function Data engineering and pipeline development
Data pipelinesETLELTSQLPythonDataflowBigQueryMongoDBData modelingData governanceMetadata managementCloud data ecosystemsStreaming dataKafkaMachine learning pipelinesData quality

Less than 2 years of experience, No experience with Python or SQL, Lack of cloud data ecosystem knowledge, No experience with data pipelines

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