Data Engineer: AWS, SQL & ETL Pipelines

Amazon; Denver (CO); On-site; USD 27,552 - 41,328; Full time

Job summary

Amazon is seeking a Data Engineer to join the Individuals Motor Association team in Denver, CO. The role focuses on designing scalable data architectures, building ETL pipelines, and leveraging AWS services such as S3, Athena, Lambda, and DynamoDB to support reporting and analytics.

Strong SQL skills and data modeling are required. You will collaborate with BI engineers and software developers to deliver robust data platforms, enable rapid iteration, and empower teams with accessible,

Qualifications

• 1+ years of data engineering experience.
• Experience with data warehousing and building ETL pipelines.
• Experience with SQL and data modeling.

Responsibilities

• Gather business and technical requirements and translate into scalable, adaptable data designs.
• Contribute to the design and implementation of advanced data solutions from scratch.
• Manage AWS resources including S3, Athena, Lambda, and DynamoDB.
• Enhance automated processes for reliability and scalability.
• Improve analytics support across multiple data sources.
• Collaborate with BI designers, developers, and cross-functional teams to deliver robust data pipelines.

Skills

SQL

Java

Python

ETL pipelines

Data modeling

AWS

Education

Bachelor's degree

Tools

AWS S3

AWS Athena

AWS Lambda

AWS DynamoDB

AWS CloudWatch

Job description

Amazon is seeking a Data Engineer to join the Individuals Motor Association team in Denver, CO. The role focuses on designing scalable data architectures, building ETL pipelines, and leveraging AWS services such as S3, Athena, Lambda, and DynamoDB to support reporting and analytics.

Strong SQL skills and data modeling are required. You will collaborate with BI engineers and software developers to deliver robust data platforms, enable rapid iteration, and empower teams with accessible,