AI Platform Data Engineer - Self-Service AI Pipelines

Amazon; Hawthorne (CA); On-site; USD 101,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon Hawthorne, CA is seeking an AI Platform Builder—Data Engineer to develop AI-enabled data platforms and curated datasets for AI/ML initiatives. You will collaborate with software engineers, scientists, and business stakeholders to deliver scalable, privacy-conscious data pipelines in a fast-paced environment.

Ideal candidates have 1+ years in data engineering, expertise in ETL/warehousing, SQL, and Python, plus experience with big data tools like Hadoop, Spark, and AWS services.

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, PL/SQL, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting language (e.g., Python).

Responsibilities

• Build and maintain scalable data pipelines ensuring privacy and security.
• Create curated datasets for AI/ML consumption.
• Partner with data science teams and stakeholders.
• Design AI-native self-service data platforms.
• Leverage AI-powered tools and agentic frameworks to improve data quality.

Skills

Data engineering

Data modeling

Data warehousing

ETL pipelines

SQL

Query languages

Python

AWS

Hadoop

Spark

Hive

EMR

Tools

Hadoop

Hive

Spark

EMR

Informatica

ODI

SSIS

Datastage

Job description

Amazon Hawthorne, CA is seeking an AI Platform Builder—Data Engineer to develop AI-enabled data platforms and curated datasets for AI/ML initiatives. You will collaborate with software engineers, scientists, and business stakeholders to deliver scalable, privacy-conscious data pipelines in a fast-paced environment.

Ideal candidates have 1+ years in data engineering, expertise in ETL/warehousing, SQL, and Python, plus experience with big data tools like Hadoop, Spark, and AWS services.