Data Engineer: Real-Time ETL for AI & Analytics

Amazon Inc.; Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon.com Services LLC is seeking a Data Engineer to design and implement robust data pipelines and infrastructure powering our data-driven decisions and AI capabilities. You will work on enterprise-scale systems, ensuring data security and privacy compliance while delivering high-performance processing for real-time and batch workloads.

You will collaborate with software engineers, product managers, and scientists to build data products that enable critical business capabilities and advanced

Qualifications

• 3+ years of data engineering experience.
• 1+ years working with ETL/ELT in BI analytics.
• 1+ years with OLAP technologies and SQL.
• Experience with Oracle is mentioned among qualifications.

Responsibilities

• Design and implement ETL/ELT frameworks for large-scale data operations.
• Establish and maintain data governance with security controls and privacy-compliant architectures.
• Support real-time and batch data solutions for analytical workloads and AI/ML apps.
• Lead design reviews and mentor data engineering best practices.
• Build data quality frameworks with monitoring and validation processes.
• Drive adoption of new technologies to improve data infrastructure and operations.

Skills

Data engineering

ETL/ELT

SQL

Data security

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

IAM roles

Job description

Amazon.com Services LLC is seeking a Data Engineer to design and implement robust data pipelines and infrastructure powering our data-driven decisions and AI capabilities. You will work on enterprise-scale systems, ensuring data security and privacy compliance while delivering high-performance processing for real-time and batch workloads.

You will collaborate with software engineers, product managers, and scientists to build data products that enable critical business capabilities and advanced