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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II, Shopbop Data - **Company:** Amazon.com, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $145,300.0 - $196,600.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Unit Testing, Big Data, Software Quality, Code Review, Databases, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Structures, Data Stores, Data Systems, Data Warehousing, Relational Databases, Distributed Systems, Perl (Programming Language), Graph Database, Identity and Access Management, Python (Programming Language), Microsoft SQL Server, MySQL, Oracle (Applications), Ruby, Standard Sql, Software Engineering, Scripting, Application Enhancement Tool, Electronic Medical Records, Generative AI, AWS Glue, Non-relational Database, Data Pipelines, Amazon Redshift - **Published:** September 6, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27998556/Data-Engineer-Ii-Shopbop-Data-New-York-New-York-7375 ## About the Role 3+ years of data engineering experience - Bachelor's degree - Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience in software development - Experience in one or more scripting languages (e.g., Python, Ruby, Perl) Preferred Qualifications - Experience working on and delivering end to end projects independently - Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience in relational database technology (such as Redshift, Oracle, MySQL or MS SQL) - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience scripting in modern program languages, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Knowledge of agile development and best coding practices including peer code reviews, and unit testing - Experience with Informatica and delivering data platform migration projects - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. ## 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., 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. 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