Data Engineer II, Shopbop Data

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

Description

As a Data Engineer on the Shopbop team you will routinely solve complex data problems, unblocking critical projects that drive Shopbop's mission to be "the daily destination for style inspiration and discovery." Whether you are optimizing analytics that help marketing tune their strategies, building new pipelines to speed up delivery, partnering with our Science team to deliver AI solutions, or helping accounting drill down to track our business: your work will empower meaningful change for your customers. You will partner closely with stakeholders across the business and with the Data Engineering team to deliver new features, or pitch in to migrate legacy features to a modern AWS-based platform. You will be an active partner in the broader Amazon data engineering community (Amazon is Shopbop's parent company), taking part in learning series and operational reviews with industry-leading engineers.

Shopbop is part of Amazon Fashion, but with a unique vibe and mission to serve fashion-oriented customers. The data engineering team frequently collaborates with teams across the business, providing opportunities to learn about the fashion industry and e-commerce (and employee discounts). We are looking for a candidate willing to be in person at our New York office (JFK94).

Key job responsibilities

You will own projects that build new data pipelines, modernize existing ones onto our AWS-based platform, or refine pipelines to deliver more value for our customers. You will partner with colleagues across Shopbop to understand their business domains and build solutions that meet their needs, including working with our Science team to bring AI solutions to production. You will also be an active participant on the Shopbop data team, driving improvements to the team's operational health and reducing errors for customers. And you will take part in Amazon's engineering culture, learning from and teaching alongside the best, while making the most of AI-powered tools to work more effectively.

Some of your tasks will include

• Architecting, designing, and implementing next-generation data pipelines and BI solutions built on AWS
• Building and optimizing ETL processes to improve data quality, reliability, and freshness
• Leveraging AI-powered developer and data tools to boost your own productivity and code quality
• Partnering with business stakeholders to translate their needs into scalable data solutions
• Collaborating with the Science team to build data foundations for AI solutions and bring them into production
• Improving the team's operational excellence through monitoring, automation, and error reduction

A day in the life

Your day starts with the team standup, reviewing pipeline health and any overnight data issues alongside fellow Data Engineers and your tech lead. You'll partner directly with these business customers to turn their needs into reliable data solutions. Our team has a strong, collaborative culture: you'll learn continuously from experienced engineers through pairing, design reviews, and you'll share your own expertise in return.

About the team

We are the Shopbop Data Engineering team, the backbone of data-driven decision-making across the business. Our mission is to deliver reliable, high-quality data that powers everything from marketing strategy to shipping optimization to financial reporting. We're in the middle of an exciting transformation, modernizing our legacy Informatica pipelines onto a scalable AWS-based platform. We're also embracing AI: adopting AI-powered tools to boost our own productivity and operational health, and partnering with our Science team to build AI solutions for the business. We value operational excellence, continuous learning, and collaboration.