{"schemaVersion":"jobsearcher.job.v1","id":"63c48a4d15c8f6edce312a6f","url":"https://jobsearcher.com/jobs/63c48a4d15c8f6edce312a6f","canonicalUrl":"https://jobsearcher.com/jobs/63c48a4d15c8f6edce312a6f","title":"Data Engineer II, DSP Analytics","description":"Job ID: 10590759 | Amazon.com Services LLCDo you enjoy diving deep into data, developing real-time and batch pipelines that generate actionable insights? The DSP Analytics team has an exciting opportunity for a Data Engineer to make impactful contributions to Amazon's Delivery Service Partner (DSP) program tackling modern data challenges by combining traditional engineering practices with transformative analytics and Generative AI.You'll help design and build the next generation of data infrastructure powering GenAI applications, and develop agents that automate the end-to-end data operations lifecycle. We are a team of Data Engineers working closely with Data Scientists, Economists, and Analysts turning machine learning and AI research into scalable products that delight customers worldwide.You're passionate about technology, strongly biased toward going deep to find insights, and driven to build scalable analytical platforms. You're relentless about quality and reliability, and comfortable communicating across different levels of leadership. If that sounds like you, we'd love to talk.Key job responsibilitiesLead and design complex data architectures, ensuring scalability, security, and alignment with business objectivesDrive implementation of large-scale data pipelines and ETL processes using AWS technologiesIdentify and resolve system-wide data challenges, including performance bottlenecks and architectural deficienciesEstablish data engineering best practices, including governance, security standards, and operational excellenceEnsure data solutions are auditable, accessible, and maintainable across the organizationCollaborate with cross-functional teams to deliver innovative data solutionsAbout the team\r\nWe are the Amazon DSP Analytics team, supporting all business pillars across the DSP organization horizontally, with the vision to enable data-, insights-, and science-driven decision-making. We are an exceptionally talented and fun-loving team. Here, you'll have the opportunity to dive deep into complex business and data problems, drive large-scale technical solutions, and raise the bar for operational excellence. We love sharing ideas and learning from each other, and we believe in using those ideas to disrupt the status quo.Basic Qualifications4+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesBachelor's degree in Computer Science, Engineering, or related fieldsExperience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceDemonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project settingPreferred QualificationsExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Experience designing or building AI agents or multi-agent solutions that automate engineering workflowsFamiliarity with agentic AI patterns including tool use, function calling, and multi-agent orchestrationAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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.The 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 .USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually#J-18808-Ljbffr","company":"Amazon.com","rawCompany":"amazoncom","city":"Seattle","state":"WA","isRemote":false,"isActive":true,"createdAt":"2026-11-04T02:23:29.111Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer II, DSP Analytics","description":"Job ID: 10590759 | Amazon.com Services LLCDo you enjoy diving deep into data, developing real-time and batch pipelines that generate actionable insights? 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If that sounds like you, we'd love to talk.Key job responsibilitiesLead and design complex data architectures, ensuring scalability, security, and alignment with business objectivesDrive implementation of large-scale data pipelines and ETL processes using AWS technologiesIdentify and resolve system-wide data challenges, including performance bottlenecks and architectural deficienciesEstablish data engineering best practices, including governance, security standards, and operational excellenceEnsure data solutions are auditable, accessible, and maintainable across the organizationCollaborate with cross-functional teams to deliver innovative data solutionsAbout the team\r\nWe are the Amazon DSP Analytics team, supporting all business pillars across the DSP organization horizontally, with the vision to enable data-, insights-, and science-driven decision-making. We are an exceptionally talented and fun-loving team. Here, you'll have the opportunity to dive deep into complex business and data problems, drive large-scale technical solutions, and raise the bar for operational excellence. We love sharing ideas and learning from each other, and we believe in using those ideas to disrupt the status quo.Basic Qualifications4+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesBachelor's degree in Computer Science, Engineering, or related fieldsExperience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceDemonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project settingPreferred QualificationsExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Experience designing or building AI agents or multi-agent solutions that automate engineering workflowsFamiliarity with agentic AI patterns including tool use, function calling, and multi-agent orchestrationAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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