{"schemaVersion":"jobsearcher.job.v1","id":"2e80d17e16381f8635198511","url":"https://jobsearcher.com/jobs/2e80d17e16381f8635198511","canonicalUrl":"https://jobsearcher.com/jobs/2e80d17e16381f8635198511","title":"Data Engineer, CIA-Core Engine","description":"Data EngineerJoin our Operations Technology Infrastructure Engineering team and help build the invisible scaffolding that powers Amazon's global network and device infrastructure. As a Data Engineer, you'll design and maintain large-scale data systems that enable thousands of Amazonians and guide operations across Amazon's fulfillment network worldwide. As a Data Engineer on our team, you'll focus on developing and maintaining robust data pipelines that ingest information from diverse sources into our data lake. You'll work on implementing ETL processes that cleanse, transform, and enrich data to support analytical needs across the organization. Your day involves partnering with network engineering teams to grasp their data requirements, designing scalable solutions, and ensuring data quality through governance and security measures. You'll also monitor our data systems to identify and resolve issues promptly, keeping our infrastructure running smoothly. Beyond routine tasks, you'll participate in architectural discussions, evaluate data solutions proposed by peers, and contribute to evolving our data engineering practices as technologies and industry standards advance.Key job responsibilities:Develop and maintain data pipelines that ingest data from various sources into our data lake, implementing ETL processes to cleanse, transform, and enrich data for analytical purposesDesign scalable data solutions focusing on performance, quality, and reliability while partnering with cross-functional teams to comprehend business requirementsImplement data quality controls, metadata management, and data lineage tracking to ensure data integrity, compliance, and accessibility across the organizationEstablish data governance and security measures to protect delicate information and ensure compliance with regulatory requirementsMonitor data infrastructure to identify and resolve issues promptly, maintaining high availability and reliability of our data systemsBasic Qualifications:3+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesBachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalentProficient in Python developmentExperience with big data technologies (Spark/Hadoop)Preferred Qualifications:Experience 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)Amazon 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, TX, Austin - 132,100.00 - 178,800.00 USD annually","company":"Amazon Technologies","rawCompany":"amazon technologies","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-25T03:52:43.979Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"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, CIA-Core Engine","description":"Data EngineerJoin our Operations Technology Infrastructure Engineering team and help build the invisible scaffolding that powers Amazon's global network and device infrastructure. As a Data Engineer, you'll design and maintain large-scale data systems that enable thousands of Amazonians and guide operations across Amazon's fulfillment network worldwide. As a Data Engineer on our team, you'll focus on developing and maintaining robust data pipelines that ingest information from diverse sources into our data lake. You'll work on implementing ETL processes that cleanse, transform, and enrich data to support analytical needs across the organization. Your day involves partnering with network engineering teams to grasp their data requirements, designing scalable solutions, and ensuring data quality through governance and security measures. You'll also monitor our data systems to identify and resolve issues promptly, keeping our infrastructure running smoothly. Beyond routine tasks, you'll participate in architectural discussions, evaluate data solutions proposed by peers, and contribute to evolving our data engineering practices as technologies and industry standards advance.Key job responsibilities:Develop and maintain data pipelines that ingest data from various sources into our data lake, implementing ETL processes to cleanse, transform, and enrich data for analytical purposesDesign scalable data solutions focusing on performance, quality, and reliability while partnering with cross-functional teams to comprehend business requirementsImplement data quality controls, metadata management, and data lineage tracking to ensure data integrity, compliance, and accessibility across the organizationEstablish data governance and security measures to protect delicate information and ensure compliance with regulatory requirementsMonitor data infrastructure to identify and resolve issues promptly, maintaining high availability and reliability of our data systemsBasic Qualifications:3+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesBachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalentProficient in Python developmentExperience with big data technologies (Spark/Hadoop)Preferred Qualifications:Experience 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)Amazon 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, TX, Austin - 132,100.00 - 178,800.00 USD annually","datePosted":"2026-08-25T03:52:43.979Z","dateModified":"2026-08-25T03:52:43.979Z","hiringOrganization":{"@type":"Organization","name":"Amazon Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2e80d17e16381f8635198511"},"url":"https://jobsearcher.com/jobs/2e80d17e16381f8635198511"}}