Senior Data Engineer: AI-Driven, Scalable Data Platform

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 155,000 - 209,000; Full time

Job summary

Amazon.com Services LLC is hiring a Senior Data Engineer to own 3-5 data domains end-to-end and operate hundreds of pipelines across the AWS analytics platform. You will design data contracts, ingestion flows, and analytical models that empower AWS leadership with insights.

The role requires hands-on SQL, ETL, and data processing expertise, plus experience with AWS EMR, Glue, Redshift, Lambda, and AI/ML tooling.

Qualifications

• 7+ years of data engineering experience.
• Experience with large data systems and data warehouses.
• Bachelor's degree required; strong SQL coding skills.
• Proficiency with Redshift and cloud data services.

Responsibilities

• Own 3-5 data domains end-to-end and operate hundreds of pipelines.
• Design data contracts, ingestion flows, and analytical models.
• Lead architectural improvements and mentor engineers.
• Drive data engineering best practices and reliability.
• Collaborate with AWS teams to scale data platforms.

Skills

SQL

ETL/ELT

Python/Java/Scala

Distributed systems

Mentoring

Redshift

Data modeling

Education

Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

Tools

AWS EMR

Redshift

Spark

Hadoop

Glue

Airflow

Job description

Amazon.com Services LLC is hiring a Senior Data Engineer to own 3-5 data domains end-to-end and operate hundreds of pipelines across the AWS analytics platform. You will design data contracts, ingestion flows, and analytical models that empower AWS leadership with insights.

The role requires hands-on SQL, ETL, and data processing expertise, plus experience with AWS EMR, Glue, Redshift, Lambda, and AI/ML tooling.