{"schemaVersion":"jobsearcher.job.v1","id":"3e1e4f18abe379d297fc5d00","url":"https://jobsearcher.com/jobs/3e1e4f18abe379d297fc5d00","canonicalUrl":"https://jobsearcher.com/jobs/3e1e4f18abe379d297fc5d00","title":"Data Engineer, Marketplace","description":"DESCRIPTION\nSales, Marketing and Global Services (SMGS)\nAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.\n\nThe AWS Marketplace team is looking for a Data Engineer to play a key role in building insights from our large and ever-growing sets of partner and customer data. Are you passionate about highly scalable data platforms and visualization? Do you enjoy building end to end analytics solutions to help drive business decisions? If so, this role will challenge and excite you!\n\nThe Data Engineer will design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and data tools. Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Produce comprehensive, usable dataset documentation and metadata. Provides input and recommendations on technical issues.\n\n10010\nBASIC QUALIFICATIONS\n3+ years of data engineering experience\nExperience with data modeling, warehousing and building ETL pipelines\nPREFERRED QUALIFICATIONS\nExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\nExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, TX, Austin - 132,100.00 - 178,800.00 USD annually","company":"Amazon.com Services","rawCompany":"amazoncom services","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-09T15:05:12.723Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Marketplace","description":"DESCRIPTION\nSales, Marketing and Global Services (SMGS)\nAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.\n\nThe AWS Marketplace team is looking for a Data Engineer to play a key role in building insights from our large and ever-growing sets of partner and customer data. Are you passionate about highly scalable data platforms and visualization? Do you enjoy building end to end analytics solutions to help drive business decisions? If so, this role will challenge and excite you!\n\nThe Data Engineer will design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and data tools. Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Produce comprehensive, usable dataset documentation and metadata. Provides input and recommendations on technical issues.\n\n10010\nBASIC QUALIFICATIONS\n3+ years of data engineering experience\nExperience with data modeling, warehousing and building ETL pipelines\nPREFERRED QUALIFICATIONS\nExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\nExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, TX, Austin - 132,100.00 - 178,800.00 USD annually","datePosted":"2026-08-09T15:05:12.723Z","dateModified":"2026-08-09T15:05:12.723Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3e1e4f18abe379d297fc5d00"},"url":"https://jobsearcher.com/jobs/3e1e4f18abe379d297fc5d00"}}