✦ Luna Orbit — Data & Analytics

Data Engineer - Finance Technology, Finance Technology

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 26, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and implementing scalable data engineering solutions for finance systems, focusing on large datasets, data modeling, and cloud integration.

  • Design data platforms
  • Interface with finance teams
  • Model data and metadata
  • Develop reports and dashboards
  • Optimize query performance

The technical environment includes AWS cloud services, SQL databases, data warehousing, and big data technologies, with a focus on data architecture, ETL processes, and reporting.

The ideal candidate is a mid-level data engineer with experience in data modeling, ETL processes, and data warehousing, preferably with AWS cloud expertise. They should be skilled in SQL and data architecture, with strong analytical and communication skills.

Data ModelingETLSQLData WarehousingData Architecture
Big Data TechnologiesCloud PlatformsPerformance TuningData ValidationBusiness Intelligence
AWSAmazon Web ServicesSQL profiling tools
Data ModelingETLReportingSQLData WarehousingData ArchitectureAWSAmazon Web ServicesBig Data TechnologiesCloudRDBMSColumnarPerformance TuningData ValidationBusiness Intelligence
Data ModelingETLReportingData WarehousingSQLData ArchitectureCloudRDBMSColumnarBig Data Technologies
CommunicationProblem-solvingAnalytical SkillsCollaborationLearning Agility
Industry Finance IT
Job Function Build and support scalable data engineering solutions for finance analytics
Role Subtype Data Engineer
Tech Domains Amazon Web Services, SQL / PostgreSQL
Data EngineerData ModelingETLReportingSQLData WarehousingData ArchitectureAWSAmazon Web ServicesBig Data TechnologiesCloudRDBMSColumnarPerformance TuningData ValidationBusiness Intelligencedata engineersqletldata modelingdata warehousingawsbig datacloudreportingdata architecture

Lack of experience with data warehousing, No SQL skills, No experience with AWS or cloud platforms, Lack of communication skills, No understanding of data architecture

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