Data Engineer - Build AI-Driven Data Platforms

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

Job summary

Amazon Web Services, Inc. in Seattle is seeking a Data Engineer to build scalable data pipelines and foundational data infrastructure that powers decision-making across AWS.

You will design and manage large-scale data systems, develop robust pipelines, and deliver data products for analytics, ML, and AI. Join a fast-paced team, collaborate with BI engineers and product teams, leverage AWS services, and apply cloud-native approaches to scalability and automation, ensuring data quality and secure,

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 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

ETL/ELT processes

SQL

Data modeling

Big data integration

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics or related

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Job description

Amazon Web Services, Inc. in Seattle is seeking a Data Engineer to build scalable data pipelines and foundational data infrastructure that powers decision-making across AWS.

You will design and manage large-scale data systems, develop robust pipelines, and deliver data products for analytics, ML, and AI. Join a fast-paced team, collaborate with BI engineers and product teams, leverage AWS services, and apply cloud-native approaches to scalability and automation, ensuring data quality and secure,