Senior Data Engineer, GenAI Data Infrastructure

Amazon Inc.; Seattle (WA); On-site; USD 155,000 - 209,000; Full time

Job summary

Amazon Development Center U.S., Inc. seeks a Senior Data Engineer to design, build, and maintain scalable data infrastructure that serves both analysts and autonomous AI agents.

You will help create a unified data ecosystem and shape the technical roadmap for AI data systems. You will collaborate with data scientists, engineers, and business stakeholders to ensure data quality, observability, and lineage at scale, using AWS data services and modern orchestration tools to enable AI-driven

Qualifications

• 7+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL.
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
• Experience mentoring team members on best practices.
• Experience with MPP databases such as Amazon Redshift.
• Experience building/operating data pipelines at scale.
• Experience building data infrastructure that serves AI systems and autonomous agents.
• Experience with GenAI data patterns end to end: chunking, embeddings, vector stores.

Responsibilities

• 5+ years of data engineering, building and operating production pipelines and warehouses.
• Design and maintain data infrastructure for both humans and AI agents.
• Develop data systems with metadata, interfaces and documentation for AI workloads.
• Build datasets and feature pipelines for ML/GenAI training and inference.
• Implement data quality, lineage and observability at scale.
• Collaborate with data scientists, engineers and stakeholders across teams.

Skills

Python

SQL

Data pipelines

GenAI

Data quality

Mentoring

ETL/ELT

Airflow

SageMaker

Bedrock

Spark

Big Data

Education

Bachelor's degree in CS/Engineering/Analytics

Tools

SageMaker

Bedrock

Redshift

Glue

EMR

Spark

Hadoop

Airflow

Job description

Amazon Development Center U.S., Inc. seeks a Senior Data Engineer to design, build, and maintain scalable data infrastructure that serves both analysts and autonomous AI agents.

You will help create a unified data ecosystem and shape the technical roadmap for AI data systems. You will collaborate with data scientists, engineers, and business stakeholders to ensure data quality, observability, and lineage at scale, using AWS data services and modern orchestration tools to enable AI-driven