Senior Data Engineer, AI Data Platform & GenAI

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 and maintain next‑generation data infrastructure that serves both human analysts and AI systems.

This role bridges traditional data warehousing with advanced AI technologies, creating a unified, scalable data ecosystem with strong data quality and observability. You will collaborate with data scientists, engineers, and business stakeholders to shape a technical roadmap for data systems supporting AI transformation, while

Qualifications

• 7+ years of data engineering experience.
• Experience with data modeling, warehousing and building 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 highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Experience building data infrastructure that serves AI systems and autonomous agents, not just human analysts, including machine-consumable interfaces, metadata, and documentation.
• Experience with GenAI data patterns end to end: chunking, embeddings, and vector stores for retrieval-augmented generation.
• Experience building and maintaining datasets and feature pipelines for ML/GenAI training, fine-tuning, and inference (Amazon SageMaker, Bedrock, or equivalent).
• Experience implementing data quality, lineage, and observability that AI workloads depend on including validation, freshness/anomaly monitoring, and alerting at scale.

Responsibilities

• 5+ years of data engineering, building and operating production pipelines and warehouses.
• Experience building data infrastructure that serves AI systems and autonomous agents, not just human analysts, including machine-consumable interfaces, metadata, and documentation.
• Experience with GenAI data patterns end to end: chunking, embeddings, and vector stores for retrieval-augmented generation.
• Experience building and maintaining datasets and feature pipelines for ML/GenAI training, fine-tuning, and inference (Amazon SageMaker, Bedrock, or equivalent).
• Experience implementing data quality, lineage, and observability that AI workloads depend on including validation, freshness/anomaly monitoring, and alerting at scale.
• 5+ years of Python (or Scala/Java) and advanced SQL, including performance tuning at scale.
• Experience with batch and streaming ETL/ELT on AWS (Glue, EMR/Spark, S3, Athena) and a production cloud data warehouse (Amazon Redshift or equivalent).
• Experience designing data models and schemas for analytical, operational, and AI/retrieval workloads.
• Experience with workflow orchestration (Step Functions, Airflow, or Glue Workflows).

Skills

Data engineering

Python

SQL

Mentoring

GenAI data patterns

ETL/ELT

AWS data services

Education

Bachelor's degree in CS/Engineering/Analytics

Tools

Amazon Redshift

SageMaker

Bedrock

Glue

EMR/Spark

Airflow

S3

Job description

Amazon Development Center U.S., Inc. seeks a Senior Data Engineer to design and maintain next‑generation data infrastructure that serves both human analysts and AI systems.

This role bridges traditional data warehousing with advanced AI technologies, creating a unified, scalable data ecosystem with strong data quality and observability. You will collaborate with data scientists, engineers, and business stakeholders to shape a technical roadmap for data systems supporting AI transformation, while