{"schemaVersion":"jobsearcher.job.v1","id":"d6100c643f0dd633ee4013cd","url":"https://jobsearcher.com/jobs/d6100c643f0dd633ee4013cd","canonicalUrl":"https://jobsearcher.com/jobs/d6100c643f0dd633ee4013cd","title":"AWS Fullstack Data Engineer","description":"Job Overview:We are seeking an experienced and visionary Senior Full-Stack Data Engineer to lead the architecture, development, and optimization of a next-generation data platform. This is a critical role for an individual with up to 15 years of deep data engineering expertise, capable of driving technical direction, mentoring team members, and delivering high-impact solutions in a fast-paced project environment..Key Responsibilities:Data Pipeline Development & ManagementIngestion & Transformation: Design, build, and optimize high-volume data ingestion and transformation jobs using tools like dbt Core, AWS Glue, ensuring data quality and integrity.Workflow Orchestration: Develop and maintain sophisticated data pipelines using orchestrators such as Dagster, focusing on modularity and reusability.Streaming & Real-time Integration: Implement and manage real-time data flows utilizing Confluent platforms or native AWS streaming services (e.g., Kinesis) for immediate data availability.Data Security and Privacy: Data Anonymization, Compliance with RegulationsAWS Architect development for Data PipelineBe well versed with DataOps and DevOps fundamentalsAssist and drive the Data Ecosystem Management & MonitoringHas experience with containerization and orchestration, specifically AWS ECS/ EKS.Infrastructure as Code (IaC): Can help with development and maintenance of some cloud foundation using IaC tools to ensure immutable, repeatable, and scalable deploymentsOpen Table Formats & Management: Implement and maintain the Iceberg open table format, utilizing tools for efficient schema evolution and data management.Compute Engine Optimization: Optimize query performance and cost efficiency across our primary compute engines: Snowflake, Amazon Redshift, and AWS Athena.Observability & Monitoring: Integrate comprehensive monitoring and observability into all pipelines using Splunk to ensure high availability, rapidly identify bottlenecks, and troubleshoot production issuesCandidate Profile:15+ Years of hands-on, progressive experience in Data Engineering, Data Architecture, or a closely related Full-Stack Data roleDeep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata managementProven track record of building and managing petabyte-scale data infrastructure in a cloud-native environmentInsurance industry experience is mandatory.Tools:Cloud Environment: AWS (S3, IAM, VPC, etc.)Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog, Snowflake, Redshift, Athena, Splunk, AWS streaming services, GitStrong SQL, Pyspark and Python","company":"Smart IT Frame","rawCompany":"smart it frame","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-06T08:48:45.654Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS Fullstack Data Engineer","description":"Job Overview:We are seeking an experienced and visionary Senior Full-Stack Data Engineer to lead the architecture, development, and optimization of a next-generation data platform. This is a critical role for an individual with up to 15 years of deep data engineering expertise, capable of driving technical direction, mentoring team members, and delivering high-impact solutions in a fast-paced project environment..Key Responsibilities:Data Pipeline Development & ManagementIngestion & Transformation: Design, build, and optimize high-volume data ingestion and transformation jobs using tools like dbt Core, AWS Glue, ensuring data quality and integrity.Workflow Orchestration: Develop and maintain sophisticated data pipelines using orchestrators such as Dagster, focusing on modularity and reusability.Streaming & Real-time Integration: Implement and manage real-time data flows utilizing Confluent platforms or native AWS streaming services (e.g., Kinesis) for immediate data availability.Data Security and Privacy: Data Anonymization, Compliance with RegulationsAWS Architect development for Data PipelineBe well versed with DataOps and DevOps fundamentalsAssist and drive the Data Ecosystem Management & MonitoringHas experience with containerization and orchestration, specifically AWS ECS/ EKS.Infrastructure as Code (IaC): Can help with development and maintenance of some cloud foundation using IaC tools to ensure immutable, repeatable, and scalable deploymentsOpen Table Formats & Management: Implement and maintain the Iceberg open table format, utilizing tools for efficient schema evolution and data management.Compute Engine Optimization: Optimize query performance and cost efficiency across our primary compute engines: Snowflake, Amazon Redshift, and AWS Athena.Observability & Monitoring: Integrate comprehensive monitoring and observability into all pipelines using Splunk to ensure high availability, rapidly identify bottlenecks, and troubleshoot production issuesCandidate Profile:15+ Years of hands-on, progressive experience in Data Engineering, Data Architecture, or a closely related Full-Stack Data roleDeep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata managementProven track record of building and managing petabyte-scale data infrastructure in a cloud-native environmentInsurance industry experience is mandatory.Tools:Cloud Environment: AWS (S3, IAM, VPC, etc.)Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog, Snowflake, Redshift, Athena, Splunk, AWS streaming services, GitStrong SQL, Pyspark and Python","datePosted":"2026-09-06T08:48:45.654Z","dateModified":"2026-09-06T08:48:45.654Z","hiringOrganization":{"@type":"Organization","name":"Smart IT Frame","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d6100c643f0dd633ee4013cd"},"url":"https://jobsearcher.com/jobs/d6100c643f0dd633ee4013cd"}}