About this role

Role overview

Job type

Full-time

Salary

$132K/yr – $179K/yr

Location

Seattle, WA

Sector

IT & Technology

Role

Data Engineer, Amazon Live Data Engineering, Sciences and Analytics (DESA)

Posted 8 days ago

Job description

Data Engineer, Amazon Live Data Engineering, Sciences and Analytics (DESA) jobs in United States

Responsibilities

Design and build a content metadata layer that unifies broadcast events, product catalog data, creator profiles, and show metadata into reusable assets consumed by both dashboards and models
Build cross-session shopper profile datasets that sessionize event data across visits and compute rolling engagement metrics (frequency, recency, depth, conversion lag)
Build integration pipelines connecting retail catalog and advertising performance data into the Amazon Live platform, unlocking new dimensions for analytics and ML
Produce structured, ML-ready datasets that feed Applied Scientists' models and serve features to downstream ranking and personalization systems
Own and advance data quality: proactive monitoring and anomaly detection so the team stays ahead of issues
Advance platform engineering maturity — CI/CD for ETL (BDT/Maestro), standardized deployment, and AI-assisted code generation and review
Partner with Applied Scientists, MLEs, DEs, and the BIE to align data assets to model, serving, and reporting needs

Preferred

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance: medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans
EAP
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Glassdoor
3.7
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and AI infrastructure.
Seattle, Washington, USA
https://amazon.com
Distribution of Different Job Fields Receiving Sponsorship
74
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Customer Service and Support
Accounting and Finance
Sales
Creatives and Design
Marketing
Human Resources
Legal and Compliance
Education and Training

Qualifications

3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Required skills
AWS Glue, AWS IAM, AWS Lambda, Amazon Data Firehose, Amazon EMR, Amazon Kinesis, Amazon Redshift, Amazon S3, Data Modeling, Data Warehousing, ETL Pipeline Development, Non-relational Databases, SQL

Experience

3+ years
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