✦ Luna Orbit — Data & Analytics

Data Engineer II - AMZ9675635

at Amazon.com

📍 US, WA, Seattle Unknown 💰 $161K – $161K USD / year Posted March 14, 2026
Salary $161K – $161K USD / year
Type Not Specified
Experience mid
Exp. Years 1+ years
Education Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Category Data & Analytics

Develop and operate large-scale data structures for business intelligence analytics, supporting data modeling, ETL/ELT processes, and reporting tools.

  • Design data structures
  • Implement ETL/ELT processes
  • Develop data models
  • Support business intelligence reporting
  • Mentor junior engineers

Focus on data engineering with expertise in SQL, Oracle, OLAP, and big data technologies within AWS environment.

The ideal candidate is a data engineer with at least one year of experience in large-scale data structures, proficient in ETL/ELT processes, SQL, and Oracle, with a master's degree in a related field. They are analytical, detail-oriented, and capable of mentoring junior team members.

Master's degree in Computer ScienceEngineeringInformation SystemsMathematicsor related fieldOne year of experience in developing and operating large-scale data structuresExperience with ETL/ELT processesExperience with OLAP technologiesData modelingSQLOracle
experience with business intelligence toolsmetadata documentationsoftware evaluationmentoring junior engineers
OracleOBIEEETLELT
ETLELTSQLOracleOLAPOBIEEData ModelingData StructuresBig DataData Architecture
ETLELTSQLOracleOLAPOBIEEData ModelingData StructuresBig DataData Architecture
analytical thinkingproblem-solvingmentoringcommunicationcollaboration
Industry E-commerce
Job Function Data engineering for analytics and reporting
Role Subtype Data Engineer
Tech Domains SQL, Oracle, OLAP, OBIEE
Data EngineerETLELTSQLOracleOLAPOBIEEData ModelingBig DataData StructuresData ArchitectureAWSAmazon Web Services

Less than 1 year of relevant experience, No experience with ETL/ELT or OLAP technologies, Lack of proficiency in SQL or Oracle, No master's degree in relevant fields

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