AI-Driven Data Engineer for Scalable Pipelines

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

Job summary

Amazon is seeking a Data Engineer for the Fuse Data Analytics team in Seattle. You will build and optimize data pipelines powering AI-driven products, collaborating with Product Managers, Software Engineers, Finance, Marketing, and BI Engineers to turn data into actionable insights.

You will apply AI tools to accelerate development, improve code quality, and automate repetitive tasks while maintaining scalable data infrastructure and datasets with business impact.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience with one or more query language (e.g., SQL, PL/SQL, HiveQL, SparkSQL).
• Experience with one or more scripting language (e.g., Python, KornShell).

Responsibilities

• Architect, develop, and maintain scalable data infrastructure and data pipelines, leveraging AI tools to accelerate development and improve code quality.
• Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies.
• Design and implement ETL pipelines and BI solutions, identifying opportunities to embed AI into data workflows such as data validation and transformation logic.
• Collaborate with business owners, SDEs, and BI Engineers to explore new data sources and deliver insights.
• Stay up to date with advancements in big data and AI technologies and contribute to pilot projects.
• Proactively identify and resolve data-related issues reducing operational load on the team, using AI-assisted automation where applicable.

Skills

SQL

Python

Data modeling

ETL pipelines

Big data concepts

Stakeholder comms

Tools

Hadoop

Hive

Spark

EMR

Informatica

Job description

Amazon is seeking a Data Engineer for the Fuse Data Analytics team in Seattle. You will build and optimize data pipelines powering AI-driven products, collaborating with Product Managers, Software Engineers, Finance, Marketing, and BI Engineers to turn data into actionable insights.

You will apply AI tools to accelerate development, improve code quality, and automate repetitive tasks while maintaining scalable data infrastructure and datasets with business impact.