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

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

Tags

25+ applicants

Original Job Post

Amazon

$132K/yr - $179K/yr

92

STRONG MATCH

Experience Level

100

Skill

Industry Exp.

41

Artificial Intelligence (AI)

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