Data Engineer I: AI-Driven Analytics & Pipelines

Amazon Inc.; Seattle (WA); On-site; USD 101,000 - 160,000; Full time

Benefits offered by this job

RSUs included

Health insurance

Job summary

Amazon.com Services LLC is seeking a Data Engineer for Fire TV, Advertising and Appstore to design and operate data pipelines powering analytics and decision-making.

The role involves building ETL workflows, ensuring data quality, and collaborating with Data Science, BI and Product teams to deliver scalable data solutions across engagements including GenAI analytics and experimentation.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL and scripting languages.
• Knowledge of database, data warehouse, or data lake solutions.

Responsibilities

• Design, develop, test, and deploy data pipelines and datasets within a defined domain.
• Build and maintain ETL/ELT workflows using SQL and Python on AWS services.
• Support data infrastructure operations including monitoring and data quality controls.
• Collaborate with Data Science, BI, Product, and Engineering stakeholders to implement solutions.
• Contribute to analytics data products and on-call support for pipelines.

Skills

SQL

Python

KornShell

HiveQL

SparkSQL

Scala

Data modeling

ETL pipelines

Data warehousing

Tools

AWS Redshift

S3

AWS Glue

AWS EMR

Kinesis

FireHose

Lambda

IAM roles/permissions

Job description

Amazon.com Services LLC is seeking a Data Engineer for Fire TV, Advertising and Appstore to design and operate data pipelines powering analytics and decision-making.

The role involves building ETL workflows, ensuring data quality, and collaborating with Data Science, BI and Product teams to deliver scalable data solutions across engagements including GenAI analytics and experimentation.