{"schemaVersion":"jobsearcher.job.v1","id":"714da617c3279ea273b33a20","url":"https://jobsearcher.com/jobs/714da617c3279ea273b33a20","canonicalUrl":"https://jobsearcher.com/jobs/714da617c3279ea273b33a20","title":"Oracle PL/ SQL Developer / Developer DBA","description":"Job Title: Oracle PL/ SQL Developer / Developer DBALocations: McLean, VAType: Full-TimeJob DescriptionThe Developer DBA will support application development, database engineering, data integration, analytics enablement, and operational database activities for the GrantSolutions platform. This role is responsible for designing, developing, testing, maintaining, and optimizing Oracle database solutions, including PL/SQL packages, procedures, functions, triggers, ETL processes, data migration scripts, and performance-tuned database objects.\r\nThe Developer DBA will work 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. The ideal candidate will be a self-starter with strong analytical and problem-solving skills who can quickly understand complex application data models, independently drive solutions, and deliver high-quality database solutions in an Agile environment.\r\nThis role will also support AI-enabled engineering initiatives by applying approved AI-assisted development and automation tools to improve productivity, code quality, documentation, testing, troubleshooting, and software delivery outcomes.\r\nResponsibilitiesWe are seeking a highly motivated Developer DBA with strong Oracle SQL and PL/SQL expertise, ETL development experience, and cloud data platform knowledge to support application modernization, database development, systems integration, analytics, and operational support activities.\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\nDevelop and support cloud-based data integration, reporting, and analytics solutions using AWS technologies such as Amazon Redshift, Amazon S3, Amazon RDS, 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\nQualifications:RequiredMust be able to obtain and maintain a Public Trust clearance.\r\nBachelor'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\nExperience with AWS data and cloud services, including Amazon Redshift, Amazon RDS, Amazon S3, and related analytics and integration technologies.\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\nPreferredExperience 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 PostgreSQL, 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:\r\nOracle Certified Professional (OCP)\r\nOracle Database Administrator Certified Professional\r\nOracle 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#J-18808-Ljbffr","company":"Rishabh Rpo","rawCompany":"rishabh rpo","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-10-04T02:04:29.994Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Oracle PL/ SQL Developer / Developer DBA","description":"Job Title: Oracle PL/ SQL Developer / Developer DBALocations: McLean, VAType: Full-TimeJob DescriptionThe Developer DBA will support application development, database engineering, data integration, analytics enablement, and operational database activities for the GrantSolutions platform. This role is responsible for designing, developing, testing, maintaining, and optimizing Oracle database solutions, including PL/SQL packages, procedures, functions, triggers, ETL processes, data migration scripts, and performance-tuned database objects.\r\nThe Developer DBA will work 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. The ideal candidate will be a self-starter with strong analytical and problem-solving skills who can quickly understand complex application data models, independently drive solutions, and deliver high-quality database solutions in an Agile environment.\r\nThis role will also support AI-enabled engineering initiatives by applying approved AI-assisted development and automation tools to improve productivity, code quality, documentation, testing, troubleshooting, and software delivery outcomes.\r\nResponsibilitiesWe are seeking a highly motivated Developer DBA with strong Oracle SQL and PL/SQL expertise, ETL development experience, and cloud data platform knowledge to support application modernization, database development, systems integration, analytics, and operational support activities.\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\nDevelop and support cloud-based data integration, reporting, and analytics solutions using AWS technologies such as Amazon Redshift, Amazon S3, Amazon RDS, 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\nQualifications:RequiredMust be able to obtain and maintain a Public Trust clearance.\r\nBachelor'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\nExperience with AWS data and cloud services, including Amazon Redshift, Amazon RDS, Amazon S3, and related analytics and integration technologies.\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\nPreferredExperience 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 PostgreSQL, 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:\r\nOracle Certified Professional (OCP)\r\nOracle Database Administrator Certified Professional\r\nOracle 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#J-18808-Ljbffr","datePosted":"2026-10-04T02:04:29.994Z","dateModified":"2026-10-04T02:04:29.994Z","hiringOrganization":{"@type":"Organization","name":"Rishabh Rpo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"714da617c3279ea273b33a20"},"url":"https://jobsearcher.com/jobs/714da617c3279ea273b33a20"}}