AI Platform Engineer — Self-Service Data Pipelines

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking an AI Platform Builder—a Data Engineer focused on developing platforms and agentic AI solutions. You’ll design, evangelize, and implement platform features and curated datasets powering AI/ML initiatives and self-service analytics.

The role spans data engineering, BI, and platform engineering, collaborating with engineers, scientists, analysts, and stakeholders across verticals.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience with one or more query language (e.g., SQL, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting language (e.g., Python, KornShell).

Responsibilities

• Build and maintain data pipelines that are scalable and privacy/security-compliant.
• Deliver well-modeled, easily discoverable data for AI/ML consumption.
• Partner with business stakeholders and data science teams.
• Design curated datasets for AI/ML consumption.

Skills

Data engineering

SQL

Python

ETL pipelines

Big data

Tools

Hadoop

Hive

Spark

EMR

Informatica

SSIS

Datastage

Job description

Amazon.com Services LLC is seeking an AI Platform Builder—a Data Engineer focused on developing platforms and agentic AI solutions. You’ll design, evangelize, and implement platform features and curated datasets powering AI/ML initiatives and self-service analytics.

The role spans data engineering, BI, and platform engineering, collaborating with engineers, scientists, analysts, and stakeholders across verticals.