{"schemaVersion":"jobsearcher.job.v1","id":"26c9d948715b281e8d6a66ba","url":"https://jobsearcher.com/jobs/26c9d948715b281e8d6a66ba","canonicalUrl":"https://jobsearcher.com/jobs/26c9d948715b281e8d6a66ba","title":"Data Engineer","description":"We're looking for an AWS-focused Data Engineer who enjoys building scalable cloud data platforms from the ground up. If you've designed data lakes, built ETL pipelines using Glue and Python, optimized Redshift environments, and thrive in a cloud-native ecosystem, we'd love to connect.\n\nSuccessful candidates must be able to provide proof of ability to work in the U.S. without sponsorship. This position is not open to corp-to-corp, subcontractor or independent consulting arrangements.\n\nAbout the Role\n\nWe are seeking a highly skilled Data Engineer with deep AWS experience to help build and scale modern cloud-based data platforms. The ideal candidate is passionate about designing reliable, high-performance data pipelines and leveraging AWS-native technologies to support advanced analytics, machine learning, and business intelligence initiatives.\n\nYou will partner closely with Data Architects, Analytics teams, Software Engineers, and business stakeholders to develop robust solutions that transform large volumes of raw data into valuable business insights.\n\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes in AWS.\nBuild and optimize data lakes and data warehouses using modern cloud architectures.\nDevelop and manage batch and real-time data ingestion frameworks.\nCreate high-quality, reusable data models that support analytics and reporting needs.\nImplement data quality, governance, security, and monitoring best practices.\nOptimize performance, scalability, and cost efficiency across AWS data services.\nCollaborate with business and technical teams to understand data requirements and deliver solutions.\nSupport CI/CD processes and Infrastructure as Code (IaC) initiatives.\nTroubleshoot production issues and drive continuous improvement of data platforms.\nRequired Qualifications\n5+ years of Data Engineering experience.\n3+ years building cloud-native data solutions within AWS.\nStrong hands-on experience with:\nAWS Glue\nAmazon Redshift\nAmazon S3\nAWS Lambda\nAmazon EMR\nAWS Step Functions\nAmazon Kinesis\nIAM and AWS Security best practices\nAdvanced SQL skills and experience optimizing complex queries.\nStrong Python development experience for data processing and automation.\nExperience building ETL/ELT workflows and orchestration frameworks.\nStrong understanding of data warehousing concepts and dimensional modeling.\nExperience with version control systems such as Git.\nStrong problem-solving and communication skills.\nPreferred Qualifications\nExperience with Snowflake, Databricks, or Apache Spark.\nExperience with Terraform or CloudFormation.\nKnowledge of Kafka and streaming architectures.\nExperience supporting Machine Learning and AI workloads.\nAWS Certified Data Engineer, AWS Certified Solutions Architect, or similar certification.\nExperience working in Agile environments.\nTechnical Environment\n\nWe're particularly interested in candidates with experience in:\n\nAWS Services\n\nGlue\nRedshift\nS3\nLambda\nAthena\nEMR\nKinesis\nStep Functions\nEventBridge\nCloudWatch\n\nLanguages & Tools\n\nPython\nSQL\nPySpark\nTerraform\nGit\nDocker\n\nData Technologies\n\nData Lake Architecture\nData Warehousing\nData Modeling\nETL/ELT Development\nStreaming Data Pipelines\nData Governance\nWhat Makes Someone Successful in This Role?\nStrong AWS-first engineering mindset.\nExperience handling large-scale, complex datasets.\nPassion for automation and operational excellence.\nAbility to build scalable and maintainable cloud-native solutions.\nStrong collaboration and communication skills.\nNice-to-Have Candidate Profile\n\nYou may be a great fit if you've worked as a:\n\nAWS Data Engineer\nCloud Data Engineer\nSenior Data Engineer\nBig Data Engineer\nData Platform Engineer\nAnalytics Engineer\nData Warehouse Engineer\n\nSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\n\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n\nRef: #208-Rowland Tulsa","company":"Systemone","rawCompany":"systemone","city":"Tulsa","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-09-12T09:49:08.249Z","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":"15-1252.00","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","description":"We're looking for an AWS-focused Data Engineer who enjoys building scalable cloud data platforms from the ground up. If you've designed data lakes, built ETL pipelines using Glue and Python, optimized Redshift environments, and thrive in a cloud-native ecosystem, we'd love to connect.\n\nSuccessful candidates must be able to provide proof of ability to work in the U.S. without sponsorship. This position is not open to corp-to-corp, subcontractor or independent consulting arrangements.\n\nAbout the Role\n\nWe are seeking a highly skilled Data Engineer with deep AWS experience to help build and scale modern cloud-based data platforms. The ideal candidate is passionate about designing reliable, high-performance data pipelines and leveraging AWS-native technologies to support advanced analytics, machine learning, and business intelligence initiatives.\n\nYou will partner closely with Data Architects, Analytics teams, Software Engineers, and business stakeholders to develop robust solutions that transform large volumes of raw data into valuable business insights.\n\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes in AWS.\nBuild and optimize data lakes and data warehouses using modern cloud architectures.\nDevelop and manage batch and real-time data ingestion frameworks.\nCreate high-quality, reusable data models that support analytics and reporting needs.\nImplement data quality, governance, security, and monitoring best practices.\nOptimize performance, scalability, and cost efficiency across AWS data services.\nCollaborate with business and technical teams to understand data requirements and deliver solutions.\nSupport CI/CD processes and Infrastructure as Code (IaC) initiatives.\nTroubleshoot production issues and drive continuous improvement of data platforms.\nRequired Qualifications\n5+ years of Data Engineering experience.\n3+ years building cloud-native data solutions within AWS.\nStrong hands-on experience with:\nAWS Glue\nAmazon Redshift\nAmazon S3\nAWS Lambda\nAmazon EMR\nAWS Step Functions\nAmazon Kinesis\nIAM and AWS Security best practices\nAdvanced SQL skills and experience optimizing complex queries.\nStrong Python development experience for data processing and automation.\nExperience building ETL/ELT workflows and orchestration frameworks.\nStrong understanding of data warehousing concepts and dimensional modeling.\nExperience with version control systems such as Git.\nStrong problem-solving and communication skills.\nPreferred Qualifications\nExperience with Snowflake, Databricks, or Apache Spark.\nExperience with Terraform or CloudFormation.\nKnowledge of Kafka and streaming architectures.\nExperience supporting Machine Learning and AI workloads.\nAWS Certified Data Engineer, AWS Certified Solutions Architect, or similar certification.\nExperience working in Agile environments.\nTechnical Environment\n\nWe're particularly interested in candidates with experience in:\n\nAWS Services\n\nGlue\nRedshift\nS3\nLambda\nAthena\nEMR\nKinesis\nStep Functions\nEventBridge\nCloudWatch\n\nLanguages & Tools\n\nPython\nSQL\nPySpark\nTerraform\nGit\nDocker\n\nData Technologies\n\nData Lake Architecture\nData Warehousing\nData Modeling\nETL/ELT Development\nStreaming Data Pipelines\nData Governance\nWhat Makes Someone Successful in This Role?\nStrong AWS-first engineering mindset.\nExperience handling large-scale, complex datasets.\nPassion for automation and operational excellence.\nAbility to build scalable and maintainable cloud-native solutions.\nStrong collaboration and communication skills.\nNice-to-Have Candidate Profile\n\nYou may be a great fit if you've worked as a:\n\nAWS Data Engineer\nCloud Data Engineer\nSenior Data Engineer\nBig Data Engineer\nData Platform Engineer\nAnalytics Engineer\nData Warehouse Engineer\n\nSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\n\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n\nRef: #208-Rowland Tulsa","datePosted":"2026-09-12T09:49:08.249Z","dateModified":"2026-09-12T09:49:08.249Z","hiringOrganization":{"@type":"Organization","name":"Systemone","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tulsa","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"26c9d948715b281e8d6a66ba"},"url":"https://jobsearcher.com/jobs/26c9d948715b281e8d6a66ba"}}