{"schemaVersion":"jobsearcher.job.v1","id":"e56b54ea20a3c87511438ae2","url":"https://jobsearcher.com/jobs/e56b54ea20a3c87511438ae2","canonicalUrl":"https://jobsearcher.com/jobs/e56b54ea20a3c87511438ae2","title":"Remote AWS Database Engineer (Oracle & PostgreSQL)","description":"Job Title:AWS Database Engineer\r\nLocation:REMOTE\r\nType:Contract-to-Hire\r\nSecurity Clearance:Due to a Federal Contract ,U.S. citizenship is required, and the ability to obtain a Public TrustRESPONSIBILITIES\r\nWork closely with application developers, architects, DevOps engineers, data engineers, Product Owners, Scrum teams, business stakeholders, and Federal partners to support mission-critical applications and modernization initiatives.\r\nDesign, develop, and support Oracle database solutions, including packages, stored procedures, functions, triggers, views, materialized views, and sequences, ensuring high performance, scalability, and maintainability.\r\nDevelop, enhance, and optimize SQL and PL/SQL code to support application functionality, reporting, system integrations, and business operations.\r\nCreate and maintain database migration scripts, schema updates, release deployment packages, and automated database deployment processes.\r\nDesign, build, and support ETL workflows, data transformation processes, validation frameworks, and batch data processing solutions.\r\nAnalyze and interpret complex data models, database schemas, enterprise data flows, ERDs, and data mappings to support business and application requirements.\r\nDesign, build, configure, administer, and support AWS database and data solutions using Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS DMS, AWS SCT, Amazon CloudWatch, AWS Secrets Manager, AWS KMS, and related AWS services and components.\r\nDevelop, administer, and optimize PostgreSQL solutions on Amazon RDS, including schemas, functions, procedures, triggers, views, extensions, indexing, partitioning, query tuning, parameter configuration, backup and recovery, high availability, and operational troubleshooting.\r\nImplement and support AWS database migration, replication, and modernization activities across Oracle and PostgreSQL platforms, including schema assessment and conversion, full-load and change data capture workflows, monitoring, and post-migration verification.\r\nConfigure and operate AWS database monitoring, logging, backup, recovery, high-availability, encryption, credential-management, and access-control capabilities using Amazon CloudWatch, RDS monitoring features, AWS Secrets Manager, AWS KMS, IAM, and related services.\r\nBuild and maintain data integration pipelines using Matillion ETL and other enterprise data integration platforms.\r\nTroubleshoot and resolve database issues, data quality concerns, application integration challenges, and performance bottlenecks across environments.\r\nPerform database performance tuning and optimization using execution plans, indexing strategies, partitioning, optimizer statistics, and Oracle diagnostic and monitoring tools.\r\nCollaborate closely with software engineers, architects, DevOps engineers, and business stakeholders to deliver scalable and reliable data solutions.\r\nParticipate in Agile development activities, including sprint planning, backlog refinement, daily standups, code reviews, sprint reviews, and retrospectives.\r\nContribute to DevSecOps and CI/CD initiatives by implementing automated testing, deployment, monitoring, and compliance practices for database solutions.\r\nCreate and maintain technical documentation, including database designs, data mappings, interface specifications, operational procedures, and support guides.\r\nDevelop and support database unit testing, regression testing, data validation testing, and automated test support for SQL, PL/SQL, ETL, and data migration changes.\r\nSupport production operations, release deployments, incident troubleshooting, root-cause analysis, and post-deployment validation for mission-critical database and application components.\r\nLeverage approved AI-powered development tools to accelerate SQL and PL/SQL development, code review, troubleshooting, documentation, testing, and knowledge-sharing activities.\r\nIdentify and implement opportunities to apply AI and intelligent automation to database development, data engineering, deployment, monitoring, operational support, and engineering productivity.\r\nSupport data governance, security, privacy, and compliance requirements by implementing least-privilege access, auditability, encryption-aware data handling, and controls aligned with Federal standards such as FISMA, NIST, and FedRAMP where applicable.\r\nContinuously evaluate emerging database, cloud, AI, and data engineering technologies and recommend improvements that enhance platform capabilities and team productivity.\r\nREQUIREMENTSBachelor’s degree required.\r\nMinimum of five (5) years of experience in Oracle database development, database engineering, ETL development, data integration, or related software engineering roles.\r\nStrong experience in Oracle SQL and PL/SQL development, including packages, procedures, functions, triggers, views, materialized views, sequences, complex queries, performance tuning, and Oracle development tools such as SQL Developer and SQL*Loader.\r\nProven ability to design, develop, optimize, troubleshoot, and maintain database solutions supporting enterprise and mission-critical applications.\r\nExperience designing and implementing ETL solutions, data transformation processes, batch processing frameworks, and data migration initiatives.\r\nRequired:Hands-on experience designing, configuring, administering, monitoring, securing, and troubleshooting AWS database solutions using Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS Database Migration Service (AWS DMS), AWS Schema Conversion Tool (AWS SCT), Amazon CloudWatch, AWS Secrets Manager, AWS Key Management Service (AWS KMS), IAM, and related AWS database components.\r\nRequired:Hands-on experience with PostgreSQL and Amazon RDS for PostgreSQL, including SQL and PL/pgSQL development, database administration, performance tuning, indexing, extensions, parameter groups, backup and recovery, high availability, security, monitoring, and troubleshooting.\r\nRequired:Experience implementing AWS database migration and replication solutions, including source and target endpoint configuration, schema conversion, full-load and change data capture tasks, validation, monitoring, troubleshooting, and cutover support.\r\nRequired:Experience applying AWS database operational controls for high availability, backup and recovery, performance monitoring, logging, encryption, secrets rotation, least-privilege access, and infrastructure automation.\r\nExperience with Matillion ETL or similar cloud-native data integration, orchestration, and data pipeline platforms.\r\nStrong understanding of relational database architecture, logical and physical data modeling, ERDs, normalization, indexing, query optimization, transaction management, and referential integrity.\r\nExperience analyzing and supporting complex enterprise application databases, schemas, and data models.\r\nExperience developing or supporting database unit tests, regression tests, data validation checks, and deployment verification activities.\r\nExperience supporting production releases, operational incidents, defect triage, root-cause analysis, and post-release validation in enterprise or mission-critical environments.\r\nAbility to troubleshoot and resolve database, data quality, integration, and application performance issues across distributed environments.\r\nExperience supporting database and application deployments using CI/CD pipelines, release automation, and DevSecOps best practices.\r\nExperience working in Agile software development environments utilizing Scrum, Kanban, or similar methodologies.\r\nExperience using source control and application lifecycle management tools such as Git, GitHub, Bitbucket, GitLab, or Azure DevOps.\r\nExperience using approved AI-assisted tools or automation practices to support code generation, optimization, testing, troubleshooting, documentation, code reviews, knowledge management, and engineering productivity improvements.\r\nUnderstanding of Responsible AI principles, AI governance, cybersecurity, data privacy, and secure AI adoption within enterprise or government environments.\r\nFamiliarity with AI-enhanced SDLC practices, AI-assisted DevSecOps, intelligent automation, and emerging AI engineering patterns.\r\nStrong analytical, problem-solving, communication, and organizational skills, with the ability to manage competing priorities, work independently or collaboratively, and continuously adapt to emerging database, cloud, and AI technologies.\r\nWHAT WOULD BE NICE TO HAVEExperience supporting Federal Government or large-scale enterprise applications.\r\nExperience supporting Grants Management, Financial Management, Case Management, Regulatory, or workflow-driven systems.\r\nExperience with Oracle Data Pump, Oracle GoldenGate, Informatica, Talend, ODI, Liquibase, Flyway, or similar data integration and migration tools.\r\nExperience with Amazon Aurora PostgreSQL-Compatible Edition, SQL Server, MySQL, or other enterprise database platforms.\r\nExperience supporting cloud modernization, database migration, or application modernization initiatives.\r\nKnowledge of Federal data security and compliance practices, including audit logging, least-privilege access, encryption-aware data handling, and security controls aligned with FISMA, NIST, or FedRAMP requirements.\r\nExperience with data warehousing concepts, dimensional modeling, enterprise reporting, and business intelligence platforms such as Power BI, Tableau, or Amazon QuickSight.\r\nExperience supporting data pipelines and data platforms used for analytics, reporting, AI, and machine learning workloads.\r\nFamiliarity with AWS cloud-native application and service deployment architectures.\r\nOracle certifications preferred, including: Oracle Certified Professional (OCP), Oracle Database Administrator Certified Professional, Oracle SQL Certified Associate.\r\nExperience evaluating and adopting emerging AI technologies to improve software engineering productivity, database development, operational efficiency, and modernization initiatives.\r\nFamiliarity with modern AI data architectures, vector databases, retrieval-augmented generation (RAG), AI agents, knowledge management systems, and enterprise AI platforms.\r\nExperience participating in AI-driven modernization efforts, intelligent automation initiatives, or enterprise data and analytics programs.\r\nHands-on experience with AI-powered development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q Developer, Cursor, ChatGPT Enterprise, Claude, Gemini, or similar platforms.\r\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.\r\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.#M1\r\n#LI-CD1\r\nRef: #851-Rockville-S1\r\n#J-18808-Ljbffr","company":"System One","rawCompany":"system one","city":"McLean","state":"VA","isRemote":true,"isActive":false,"createdAt":"2026-11-04T02:09:30.506Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote AWS Database Engineer (Oracle & PostgreSQL)","description":"Job Title:AWS Database Engineer\r\nLocation:REMOTE\r\nType:Contract-to-Hire\r\nSecurity Clearance:Due to a Federal Contract ,U.S. citizenship is required, and the ability to obtain a Public TrustRESPONSIBILITIES\r\nWork closely with application developers, architects, DevOps engineers, data engineers, Product Owners, Scrum teams, business stakeholders, and Federal partners to support mission-critical applications and modernization initiatives.\r\nDesign, develop, and support Oracle database solutions, including packages, stored procedures, functions, triggers, views, materialized views, and sequences, ensuring high performance, scalability, and maintainability.\r\nDevelop, enhance, and optimize SQL and PL/SQL code to support application functionality, reporting, system integrations, and business operations.\r\nCreate and maintain database migration scripts, schema updates, release deployment packages, and automated database deployment processes.\r\nDesign, build, and support ETL workflows, data transformation processes, validation frameworks, and batch data processing solutions.\r\nAnalyze and interpret complex data models, database schemas, enterprise data flows, ERDs, and data mappings to support business and application requirements.\r\nDesign, build, configure, administer, and support AWS database and data solutions using Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS DMS, AWS SCT, Amazon CloudWatch, AWS Secrets Manager, AWS KMS, and related AWS services and components.\r\nDevelop, administer, and optimize PostgreSQL solutions on Amazon RDS, including schemas, functions, procedures, triggers, views, extensions, indexing, partitioning, query tuning, parameter configuration, backup and recovery, high availability, and operational troubleshooting.\r\nImplement and support AWS database migration, replication, and modernization activities across Oracle and PostgreSQL platforms, including schema assessment and conversion, full-load and change data capture workflows, monitoring, and post-migration verification.\r\nConfigure and operate AWS database monitoring, logging, backup, recovery, high-availability, encryption, credential-management, and access-control capabilities using Amazon CloudWatch, RDS monitoring features, AWS Secrets Manager, AWS KMS, IAM, and related services.\r\nBuild and maintain data integration pipelines using Matillion ETL and other enterprise data integration platforms.\r\nTroubleshoot and resolve database issues, data quality concerns, application integration challenges, and performance bottlenecks across environments.\r\nPerform database performance tuning and optimization using execution plans, indexing strategies, partitioning, optimizer statistics, and Oracle diagnostic and monitoring tools.\r\nCollaborate closely with software engineers, architects, DevOps engineers, and business stakeholders to deliver scalable and reliable data solutions.\r\nParticipate in Agile development activities, including sprint planning, backlog refinement, daily standups, code reviews, sprint reviews, and retrospectives.\r\nContribute to DevSecOps and CI/CD initiatives by implementing automated testing, deployment, monitoring, and compliance practices for database solutions.\r\nCreate and maintain technical documentation, including database designs, data mappings, interface specifications, operational procedures, and support guides.\r\nDevelop and support database unit testing, regression testing, data validation testing, and automated test support for SQL, PL/SQL, ETL, and data migration changes.\r\nSupport production operations, release deployments, incident troubleshooting, root-cause analysis, and post-deployment validation for mission-critical database and application components.\r\nLeverage approved AI-powered development tools to accelerate SQL and PL/SQL development, code review, troubleshooting, documentation, testing, and knowledge-sharing activities.\r\nIdentify and implement opportunities to apply AI and intelligent automation to database development, data engineering, deployment, monitoring, operational support, and engineering productivity.\r\nSupport data governance, security, privacy, and compliance requirements by implementing least-privilege access, auditability, encryption-aware data handling, and controls aligned with Federal standards such as FISMA, NIST, and FedRAMP where applicable.\r\nContinuously evaluate emerging database, cloud, AI, and data engineering technologies and recommend improvements that enhance platform capabilities and team productivity.\r\nREQUIREMENTSBachelor’s degree required.\r\nMinimum of five (5) years of experience in Oracle database development, database engineering, ETL development, data integration, or related software engineering roles.\r\nStrong experience in Oracle SQL and PL/SQL development, including packages, procedures, functions, triggers, views, materialized views, sequences, complex queries, performance tuning, and Oracle development tools such as SQL Developer and SQL*Loader.\r\nProven ability to design, develop, optimize, troubleshoot, and maintain database solutions supporting enterprise and mission-critical applications.\r\nExperience designing and implementing ETL solutions, data transformation processes, batch processing frameworks, and data migration initiatives.\r\nRequired:Hands-on experience designing, configuring, administering, monitoring, securing, and troubleshooting AWS database solutions using Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS Database Migration Service (AWS DMS), AWS Schema Conversion Tool (AWS SCT), Amazon CloudWatch, AWS Secrets Manager, AWS Key Management Service (AWS KMS), IAM, and related AWS database components.\r\nRequired:Hands-on experience with PostgreSQL and Amazon RDS for PostgreSQL, including SQL and PL/pgSQL development, database administration, performance tuning, indexing, extensions, parameter groups, backup and recovery, high availability, security, monitoring, and troubleshooting.\r\nRequired:Experience implementing AWS database migration and replication solutions, including source and target endpoint configuration, schema conversion, full-load and change data capture tasks, validation, monitoring, troubleshooting, and cutover support.\r\nRequired:Experience applying AWS database operational controls for high availability, backup and recovery, performance monitoring, logging, encryption, secrets rotation, least-privilege access, and infrastructure automation.\r\nExperience with Matillion ETL or similar cloud-native data integration, orchestration, and data pipeline platforms.\r\nStrong understanding of relational database architecture, logical and physical data modeling, ERDs, normalization, indexing, query optimization, transaction management, and referential integrity.\r\nExperience analyzing and supporting complex enterprise application databases, schemas, and data models.\r\nExperience developing or supporting database unit tests, regression tests, data validation checks, and deployment verification activities.\r\nExperience supporting production releases, operational incidents, defect triage, root-cause analysis, and post-release validation in enterprise or mission-critical environments.\r\nAbility to troubleshoot and resolve database, data quality, integration, and application performance issues across distributed environments.\r\nExperience supporting database and application deployments using CI/CD pipelines, release automation, and DevSecOps best practices.\r\nExperience working in Agile software development environments utilizing Scrum, Kanban, or similar methodologies.\r\nExperience using source control and application lifecycle management tools such as Git, GitHub, Bitbucket, GitLab, or Azure DevOps.\r\nExperience using approved AI-assisted tools or automation practices to support code generation, optimization, testing, troubleshooting, documentation, code reviews, knowledge management, and engineering productivity improvements.\r\nUnderstanding of Responsible AI principles, AI governance, cybersecurity, data privacy, and secure AI adoption within enterprise or government environments.\r\nFamiliarity with AI-enhanced SDLC practices, AI-assisted DevSecOps, intelligent automation, and emerging AI engineering patterns.\r\nStrong analytical, problem-solving, communication, and organizational skills, with the ability to manage competing priorities, work independently or collaboratively, and continuously adapt to emerging database, cloud, and AI technologies.\r\nWHAT WOULD BE NICE TO HAVEExperience supporting Federal Government or large-scale enterprise applications.\r\nExperience supporting Grants Management, Financial Management, Case Management, Regulatory, or workflow-driven systems.\r\nExperience with Oracle Data Pump, Oracle GoldenGate, Informatica, Talend, ODI, Liquibase, Flyway, or similar data integration and migration tools.\r\nExperience with Amazon Aurora PostgreSQL-Compatible Edition, SQL Server, MySQL, or other enterprise database platforms.\r\nExperience supporting cloud modernization, database migration, or application modernization initiatives.\r\nKnowledge of Federal data security and compliance practices, including audit logging, least-privilege access, encryption-aware data handling, and security controls aligned with FISMA, NIST, or FedRAMP requirements.\r\nExperience with data warehousing concepts, dimensional modeling, enterprise reporting, and business intelligence platforms such as Power BI, Tableau, or Amazon QuickSight.\r\nExperience supporting data pipelines and data platforms used for analytics, reporting, AI, and machine learning workloads.\r\nFamiliarity with AWS cloud-native application and service deployment architectures.\r\nOracle certifications preferred, including: Oracle Certified Professional (OCP), Oracle Database Administrator Certified Professional, Oracle SQL Certified Associate.\r\nExperience evaluating and adopting emerging AI technologies to improve software engineering productivity, database development, operational efficiency, and modernization initiatives.\r\nFamiliarity with modern AI data architectures, vector databases, retrieval-augmented generation (RAG), AI agents, knowledge management systems, and enterprise AI platforms.\r\nExperience participating in AI-driven modernization efforts, intelligent automation initiatives, or enterprise data and analytics programs.\r\nHands-on experience with AI-powered development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q Developer, Cursor, ChatGPT Enterprise, Claude, Gemini, or similar platforms.\r\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.\r\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.#M1\r\n#LI-CD1\r\nRef: #851-Rockville-S1\r\n#J-18808-Ljbffr","datePosted":"2026-11-04T02:09:30.506Z","dateModified":"2026-11-04T02:09:30.506Z","hiringOrganization":{"@type":"Organization","name":"System One","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e56b54ea20a3c87511438ae2"},"url":"https://jobsearcher.com/jobs/e56b54ea20a3c87511438ae2"}}