Data Engineer II Shopbop
Data Engineer II Shopbop
Posted on :
09-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 118900 - 205600
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
As a Data Engineer at Shopbop team you will routinely solve complex data problems unblocking critical projects that drive Shopbops Mission to be the daily destination for style inspiration and discovery. Wether you are optimizing analysis for marketing to tune their strategies building new pipelines to drive down shipping speeds 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 our business and partners on the Data Engineering team to deliver new features or pitch in to migrate legacy features to a modern AWSbased platform. You will be an active partner in Amazons (Shopbops parent company) data engineering group taking part in learning series and operational reviews with industryleading engineers.
Shopbop is part of Amazons Fashion and Fitness team but with a unique vibe and mission to service fashionoriented customers. The data engineering team frequently collaborates with all parts of the business providing opportunities to learn about the Fashion industry and ECommerce (and employee discounts). We are looking for a candidate willing to be in person at a Shopbop location in New York weekly but working virtually other days with colleagues across all US Timezones. Expect 1/year travel to Madison WI New York NY or Seattle WA.
Key job responsibilities
You will own projects that build new data pipelines migrate pipelines form our legacy Informatica system to a modern AWSbased system or refine existing 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. You will also be an active participant within the data team at Shopbop suggesting improvements that improve the teams operational health and reduce errors for customers. You will participate in Amazons active engineering culture learning and teaching the best.
A day in the life
You start the day responding to an email and start a brief chat to align on requirements with a stakeholder. You hop into a code review accepting most of the feedback but noting an area to discuss. You go heads down for a while working on your current story. After standup you help a peer struggling with a dataset you know and discuss their CR feedback. In the afternoon you attend a presentation on how to implement effective data models for Machine Learning spurring ideas for how to improve Shopbops personalization data feed. You attend the weekly operational review and are pleased to see a fix you made has reduced total run time on a critical job by 40. You finish up the day by working on your primary deliverable before signing off.
About the team
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Shopbop is part of Amazons Fashion and Fitness team but with a unique vibe and mission to service fashionoriented customers. The data engineering team frequently collaborates with all parts of the business providing opportunities to learn about the Fashion industry and ECommerce (and employee discounts). We are looking for a candidate willing to be in person at a Shopbop location in New York weekly but working virtually other days with colleagues across all US Timezones. Expect 1/year travel to Madison WI New York NY or Seattle WA.
Key job responsibilities
You will own projects that build new data pipelines migrate pipelines form our legacy Informatica system to a modern AWSbased system or refine existing 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. You will also be an active participant within the data team at Shopbop suggesting improvements that improve the teams operational health and reduce errors for customers. You will participate in Amazons active engineering culture learning and teaching the best.
A day in the life
You start the day responding to an email and start a brief chat to align on requirements with a stakeholder. You hop into a code review accepting most of the feedback but noting an area to discuss. You go heads down for a while working on your current story. After standup you help a peer struggling with a dataset you know and discuss their CR feedback. In the afternoon you attend a presentation on how to implement effective data models for Machine Learning spurring ideas for how to improve Shopbops personalization data feed. You attend the weekly operational review and are pleased to see a fix you made has reduced total run time on a critical job by 40. You finish up the day by working on your primary deliverable before signing off.
About the team
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
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