Data Engineer — AI-Powered Data Platform

Amazon Web Services (AWS); Arlington (VA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a data engineering professional to design and manage large-scale data systems using cloud-native approaches to scalability and automation.

You will build robust pipelines, integrate new data sources, and deliver reliable data products that support analytics, ML, and AI-powered systems. Collaborate with BI engineers and product teams to address business questions with scalable solutions.

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling.
• Experience with data modeling, warehousing and building ETL pipelines.

Responsibilities

• Architect and implement scalable, reliable, and secure data pipelines for extraction, transformation, and loading from diverse data sources.
• Manage AWS resources including EC2, Redshift, Glue, S3, SageMaker, App Studio, and Bedrock.
• Deploy infrastructure-as-code using CDK.
• Oversee production operations, including optimizing data delivery, scaling infrastructure, code deployments, bug fixes, and release management.
• Design and implement data structures using best practices in data modeling to support reporting, analysis, and machine learning.
• Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access.
• Develop infrastructure for agentic AI systems with multi-agent orchestration.
• Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources.
• Read, write, and debug data processing and orchestration code following best coding standards (e.g., version controlled, code reviewed).

Skills

Data engineering

ETL/ELT

SQL

Data modeling

AWS data services

Data warehousing

Education

Bachelor's degree in Computer Science / Engineering / Information Systems / Mathematics

Tools

AWS Glue

Redshift

S3

CDK

Bedrock

SageMaker

Job description

Amazon Web Services, Inc. is seeking a data engineering professional to design and manage large-scale data systems using cloud-native approaches to scalability and automation.

You will build robust pipelines, integrate new data sources, and deliver reliable data products that support analytics, ML, and AI-powered systems. Collaborate with BI engineers and product teams to address business questions with scalable solutions.