✦ Luna Orbit — Data & Analytics

Senior, Data Engineer

at Walmart

📍 2 Locations Unknown 💰 $90K – $180K USD / year Posted March 18, 2026
Salary $90K – $180K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

This role involves leading the development and optimization of large-scale data pipelines and analytics platforms. The candidate will oversee data quality, security, and team collaboration to support business insights.

  • Lead data pipeline development
  • Manage data quality
  • Collaborate with cross-functional teams
  • Optimize data storage
  • Ensure data security

The technical environment includes Apache Spark and Kafka for big data processing, cloud storage solutions, and data modeling techniques. The role emphasizes leadership and data governance.

The ideal candidate is a senior data engineer with over 5 years of experience in designing scalable data pipelines and managing big data environments. They should possess strong leadership skills, expertise in Spark and Kafka, and a deep understanding of data governance and security.

Extensive experience in data engineeringProficiency in SQLKnowledge of Apache Spark and KafkaData modelingETL processes
Big data technologiesCloud data storageData privacy and security
Apache SparkApache KafkaCloud platforms
SQLJavaPythonApache SparkApache Kafkadata pipelinesETLdata modelingcloud platformsdata qualitydata governance
SQLJavaPythonApache SparkApache KafkaData pipelinesETL processesData modelingCloud platformsData qualityData governance
CollaborationCommunicationProblem-solvingAnalytical thinkingLeadership
Industry Retail / E-commerce / Technology
Job Function Leading data engineering initiatives for scalable analytics platforms
Role Subtype Data & Analytics
Tech Domains Apache Spark, Apache Kafka, SQL / PostgreSQL
senior data engineerSQLJavaPythonApache SparkApache KafkaETLdata pipelinesdata modelingcloud platformsdata qualitydata governancebig datadata privacydata securityanalyticsleadershipteam leadership

No experience in data engineering, Lack of proficiency in SQL or big data tools, No leadership experience, Unfamiliar with data governance or security

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