✦ Luna Orbit — Data & Analytics

Sr. Data Engineer

at Amazon.com

📍 US, WA, Bellevue Unknown Posted March 18, 2026
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

A senior data engineering role focused on designing and implementing large-scale data pipelines and platforms at Amazon, leveraging big data technologies and AI.

  • Design data pipelines
  • Mentor team members
  • Build data platforms
  • Optimize data sources
  • Partner with stakeholders

Involves working with SQL, Python, Java, Scala, Hadoop, Hive, Spark, EMR, and AI-driven data solutions in a cloud environment.

The ideal candidate is a senior data engineer with over 5 years of experience in data modeling, warehousing, and building ETL pipelines. They are proficient in SQL and at least one modern programming language, with a strong interest in big data technologies and AI integration.

5+ years of data engineering experienceExperience with data modelingExperience with warehousingBuilding ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language
Experience with HadoopExperience with HiveExperience with SparkExperience with EMRExperience operating large data warehouses
HadoopHiveSparkEMR
SQLPythonJavaScalaNode.jsdata modelingdata warehousingETL pipelinesHadoopHiveSparkEMR
SQLPythonJavaScalaNode.jsData modelingData warehousingETL pipelinesHadoopHiveSparkEMR
communicationmentoringproblem-solvingcollaborationcuriosity
Industry E-commerce
Job Function Developing and maintaining large-scale data infrastructure for analytics and AI at Amazon
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Hadoop, Hive, Spark, EMR
data engineerSQLPythonJavaScalaNode.jsdata modelingdata warehousingETL pipelinesHadoopHiveSparkEMRmentoringbig datagenerative AIdata platformsBI solutionscloud dataAWS

Less than 5 years of data engineering experience, Lack of experience with SQL or data modeling, No experience with big data technologies, No programming experience in Python, Java, Scala, or Node.js

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