{"schemaVersion":"jobsearcher.job.v1","id":"5866836b1442afde1b3b42b2","url":"https://jobsearcher.com/jobs/5866836b1442afde1b3b42b2","canonicalUrl":"https://jobsearcher.com/jobs/5866836b1442afde1b3b42b2","title":"Data Engineer, Amazon Ads","description":"DESCRIPTION\nThis is a ground-up, greenfield build — Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.\n\nWhat we're building:\n\nA finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) — the team building the next generation of agentic AI advertising products\nPipelines and models that turn raw data into decisions for greenfield products\nSelf-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products\n\nThis is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.\n\nWe're looking for a senior Data Engineer who brings:\n\nDeep SQL fluency and 3+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale\nHands-on depth with the Amazon data stack — Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)\nStrong dimensional data modeling judgment — fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision\nPython (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL\nA willingness to set the bar — define data quality, lineage, SLA, and reliability standards for the org and hold the line on them\nThe ability to operate in ambiguity — turn open-ended finance and program questions into durable data products with minimal scoping help\nExcitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows\nAI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent\n\nKey job responsibilities\n\nOwn it end-to-end — set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer\nBuild the tools — architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth\nLand the data — integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer\nMove fast — deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action\nSimplify complexity — turn messy, multi-source data into well-documented dimensional models that scale with the org\nRaise the bar — drive code and design reviews and set data quality and pipeline reliability standards\n\nBASIC QUALIFICATIONS\n3+ years of data engineering experience\n1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience\n1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience\n1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL 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, NY, New York - 145,300.00 - 196,600.00 USD annually\nUSA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually","company":"Amazon.com Services","rawCompany":"amazoncom services","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-07-21T12:13:04.029Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Amazon Ads","description":"DESCRIPTION\nThis is a ground-up, greenfield build — Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.\n\nWhat we're building:\n\nA finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) — the team building the next generation of agentic AI advertising products\nPipelines and models that turn raw data into decisions for greenfield products\nSelf-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products\n\nThis is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.\n\nWe're looking for a senior Data Engineer who brings:\n\nDeep SQL fluency and 3+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale\nHands-on depth with the Amazon data stack — Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)\nStrong dimensional data modeling judgment — fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision\nPython (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL\nA willingness to set the bar — define data quality, lineage, SLA, and reliability standards for the org and hold the line on them\nThe ability to operate in ambiguity — turn open-ended finance and program questions into durable data products with minimal scoping help\nExcitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows\nAI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent\n\nKey job responsibilities\n\nOwn it end-to-end — set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer\nBuild the tools — architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth\nLand the data — integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer\nMove fast — deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action\nSimplify complexity — turn messy, multi-source data into well-documented dimensional models that scale with the org\nRaise the bar — drive code and design reviews and set data quality and pipeline reliability standards\n\nBASIC QUALIFICATIONS\n3+ years of data engineering experience\n1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience\n1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience\n1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL 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, NY, New York - 145,300.00 - 196,600.00 USD annually\nUSA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually","datePosted":"2026-07-21T12:13:04.029Z","dateModified":"2026-07-21T12:13:04.029Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5866836b1442afde1b3b42b2"},"url":"https://jobsearcher.com/jobs/5866836b1442afde1b3b42b2"}}