✦ Luna Orbit — Data & Analytics

Data Engineer II, ISF Central Tech Team

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 18, 2026
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Position Details

Type Full-Time
Experience mid
Exp. Years 3-5 years
Education Not specified
Category Data & Analytics

About this role

A mid-level data engineer role focused on designing and implementing scalable data pipelines and warehouses on AWS to support business analytics and real-time data processing.

Key Responsibilities

  • Design ETL pipelines
  • Manage data warehouses
  • Implement real-time data streams
  • Automate data workflows
  • Collaborate with business teams

Technical Overview

Involves working with SQL, AWS services like Redshift, S3, Glue, EMR, Kinesis, Lambda, and managing non-relational databases in a cloud environment.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 3+ years of experience in building scalable ETL pipelines and data warehouses using AWS technologies, capable of working independently on end-to-end projects.

Must-Have Skills

3+ years of data engineering experienceExperience with data modelingExperience with warehousingBuilding ETL pipelinesExperience with SQLExperience working on end-to-end projects

Nice-to-Have Skills

Experience with AWS technologies like RedshiftS3GlueEMRKinesisFireHoseLambdaIAM rolesExperience with non-relational databases

Tools & Platforms

RedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAM

Required Skills

SQLAWSRedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAM rolesnon-relational databases

Hard Skills

SQLAWSRedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAM rolesnon-relational databases

Soft Skills

communicationindependent workproblem-solvingcollaboration

Industry & Role

Industry E-commerce
Job Function Developing scalable data pipelines and warehouses on AWS for analytics and decision-making
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Redshift, S3, AWS Glue, EMR, Kinesis, Lambda, IAM

Keywords for Your Resume

data engineerSQLAWSRedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAM rolesnon-relational databasesETL pipelinesdata modelingwarehousingend-to-end projects

Deal Breakers

Less than 3 years of data engineering experience, No experience with AWS services like Redshift or S3, Lack of SQL or ETL pipeline experience, No experience with end-to-end project delivery

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