✦ Luna Orbit — Data & Analytics

Data Engineer II, Ring Agent Platforms

at Amazon.com

📍 US, CA, Hawthorne Unknown Posted March 13, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

About this role

This role involves designing and maintaining scalable data pipelines, working closely with stakeholders to meet business needs, and employing AWS and GenAI technologies to enhance data solutions.

Key Responsibilities

  • Build data ingestions, Maintain data pipelines, Collaborate with stakeholders, Implement GenAI agents, Perform code reviews

Technical Overview

The technical environment includes AWS cloud services, internal Amazon tools, GenAI, and data modeling/warehousing techniques.

Ideal Candidate

The ideal candidate is a mid-level data engineer with over 3 years of experience in data modeling, ETL pipeline development, and AWS cloud technologies. They should possess strong analytical and communication skills, with a focus on building scalable, secure data solutions.

Must-Have Skills

Data engineering experienceExperience with data modelingExperience with SQLExperience with AWS technologies

Nice-to-Have Skills

GenAI toolingData hygieneData privacy/securityinternal tools

Tools & Platforms

AWSAmazon internal toolsGenAI

Required Skills

Data EngineeringETL pipelinesSQLAWSData modelingData warehousingGenAIData pipelinesData hygieneData security

Hard Skills

Data EngineeringETL pipelinesSQLData modelingData warehousingNative AWSGenAIData pipelinesAWSAmazon internal tools

Soft Skills

analyticalcommunicationproject managementcollaborationadaptability

Industry & Role

Industry Technology / E-commerce / Consumer Electronics
Job Function Developing and maintaining scalable data pipelines for business analytics and AI applications
Role Subtype Data Engineer
Tech Domains Amazon Web Services, SQL, ETL pipelines, Data modeling, Data warehousing

Keywords for Your Resume

Data EngineerETL pipelinesSQLAWSAmazon Web ServicesData modelingData warehousingGenAIData pipelinesData hygieneData privacyScalable data pipelinesData securityBusiness reportingMachine learning

Deal Breakers

Less than 3 years of data engineering experience, Lack of experience with AWS technologies, No SQL experience, Inability to work with stakeholders

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