Data Engineer II - AWS Pipelines & AI Solutions

Amazon; New York (NY); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Employee discounts

Job summary

Shopbop in New York City is seeking a Data Engineer to build and modernize data pipelines on our AWS-based platform. You will work closely with stakeholders across the business to translate needs into scalable data solutions.

You will partner with the Data Engineering team and the Science team to bring AI-powered workflows into production, improve data quality, and reduce errors while advancing our operational health and analytics capabilities.

Qualifications

• Experience building data pipelines on AWS.
• Strong collaboration with cross-functional teams.
• Experience with ETL processes and data quality.

Responsibilities

• Own projects that build and modernize data pipelines on AWS.
• Build and optimize ETL processes for reliability and freshness.
• Leverage AI-powered tools to boost productivity and quality of code.
• Translate business needs into scalable data solutions with stakeholders.
• Collaborate with Science to prepare data for AI models and production.
• Improve operational health through monitoring and automation.

Skills

AWS

ETL

Data pipelines

Python

SQL

Collaboration

Tools

Informatica

Job description

Shopbop in New York City is seeking a Data Engineer to build and modernize data pipelines on our AWS-based platform. You will work closely with stakeholders across the business to translate needs into scalable data solutions.

You will partner with the Data Engineering team and the Science team to bring AI-powered workflows into production, improve data quality, and reduce errors while advancing our operational health and analytics capabilities.