Data Engineer I: AI-Driven Data Pipelines

Socket.dev; Seattle (WA); On-site; USD 101,000 - 160,000; Full time

Job summary

Amazon Security is seeking a Data Engineer I to build high quality datasets and data pipelines for security investigations and modeling. You will collaborate across disciplines to gather data requirements and implement scalable data infrastructure in a fast-paced environment.

You will work with AWS services and internal tools, contributing to data governance, data integrity, and automated data pipelines that support security reviews, threat modeling, and incident response.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL dialects and data query languages.
• Proficiency in scripting languages such as Python or KornShell.

Responsibilities

• Develop world class data pipelines by working with customers.
• Create designs for data governance strategy and data schemas.
• Improve data quality via automation and CI/CD pipelines.
• Write high performing SQL queries and optimize data processing.
• Leverage AI/LLM to automate repetitive data tasks.

Skills

Data modeling

Data warehousing

ETL pipelines

SQL

HiveQL

SparkSQL

Python

KornShell

PL/SQL

Scala

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon Security is seeking a Data Engineer I to build high quality datasets and data pipelines for security investigations and modeling. You will collaborate across disciplines to gather data requirements and implement scalable data infrastructure in a fast-paced environment.

You will work with AWS services and internal tools, contributing to data governance, data integrity, and automated data pipelines that support security reviews, threat modeling, and incident response.