{"schemaVersion":"jobsearcher.job.v1","id":"2ec1b02418371ec27d3ca5f3","url":"https://jobsearcher.com/jobs/2ec1b02418371ec27d3ca5f3","canonicalUrl":"https://jobsearcher.com/jobs/2ec1b02418371ec27d3ca5f3","title":"AWS Data Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53824Job Title:AWS Data EngineerLocation:Seattle, WADuration:14 Months + ExtensionDomain Exposure:HealthcareWork Authorization:US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsSenior Azure Cloud Security Engineer - Chicago, ILSoftware Engineer - Austin, TXSenior AI Engineer - Plano, TXPython Engineer - Charlotte, NCSalesforce Data Cloud - Chicago, ILRole DescriptionsExperience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data setsWorking knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc.Working knowledge of Master Data Management Reltio preferredResearch, analyze, recommend, and select technical approaches for solving exciting and sophisticated development and integration problemsBuild and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructureImplement additional project components (API interfaces) for accessibilityImplement secure cloud data solutions which align to privacy and security controlsEnable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, qualityQualificationsA passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of itContribute to the overall data platform architecture and evolutionExperience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structuresExperience with Infrastructure-as-code tools such as Cloud Formation and TerraformExperience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams)Experience in MDM (Master Data Management) implementation involving platforms like Reltio, Informatica etc.Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or GoSolid understanding of scripting languages such as bash or PowerShellTrack record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectorsMust have a background in data engineering – Data Warehouse, ETL/ELT and BI experienceServe as an authority; envision and integrate emerging data technologies, anticipate new trends to tackle sophisticated business and technical problemsWorking experience with various stream analytics technologiesApply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","company":"Machine Learning Technologies","rawCompany":"machine learning technologies","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-11-06T07:32:25.439Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS Data Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53824Job Title:AWS Data EngineerLocation:Seattle, WADuration:14 Months + ExtensionDomain Exposure:HealthcareWork Authorization:US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsSenior Azure Cloud Security Engineer - Chicago, ILSoftware Engineer - Austin, TXSenior AI Engineer - Plano, TXPython Engineer - Charlotte, NCSalesforce Data Cloud - Chicago, ILRole DescriptionsExperience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data setsWorking knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc.Working knowledge of Master Data Management Reltio preferredResearch, analyze, recommend, and select technical approaches for solving exciting and sophisticated development and integration problemsBuild and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructureImplement additional project components (API interfaces) for accessibilityImplement secure cloud data solutions which align to privacy and security controlsEnable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, qualityQualificationsA passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of itContribute to the overall data platform architecture and evolutionExperience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structuresExperience with Infrastructure-as-code tools such as Cloud Formation and TerraformExperience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams)Experience in MDM (Master Data Management) implementation involving platforms like Reltio, Informatica etc.Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or GoSolid understanding of scripting languages such as bash or PowerShellTrack record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectorsMust have a background in data engineering – Data Warehouse, ETL/ELT and BI experienceServe as an authority; envision and integrate emerging data technologies, anticipate new trends to tackle sophisticated business and technical problemsWorking experience with various stream analytics technologiesApply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. 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