Description

FM Talent Source is seeking one Developer DBA for a full-time contract engagement supporting a client’s GrantSolutions platform. The role focuses on Oracle database development, SQL and PL/SQL programming, ETL and data integration, cloud data platforms, performance tuning, deployment automation, testing, production support, and AI-assisted engineering. The position requires a bachelor’s degree, a Public Trust clearance, and at least five years of experience in Oracle database development, database engineering, ETL, data integration, or related software engineering roles.

Required Skills

Oracle SQL
PL/SQL
ETL development
Data integration
AWS technologies
Matillion ETL
Database tuning
CI/CD pipelines
Agile development
Data modeling

Additional Information

Minimum Education: Bachelor’s degree
Required Previous Experiences: At least five years of experience in Oracle database development, database engineering, ETL development, data integration, or related software engineering roles
Strong Oracle SQL and PL/SQL development experience, including packages, procedures, functions, triggers, views, materialized views, sequences, complex queries, performance tuning, and Oracle development tools
Experience designing, developing, optimizing, troubleshooting, and maintaining database solutions for enterprise and mission-critical applications
Experience designing and implementing ETL solutions, data transformation processes, batch processing frameworks, and data migration initiatives
Experience with AWS data and cloud services, including Amazon Redshift, Amazon RDS, Amazon S3, and related analytics and integration technologies
Experience with Matillion ETL or similar cloud-native data integration, orchestration, and data pipeline platforms
Experience analyzing and supporting complex enterprise application databases, schemas, and data models
Experience developing or supporting database unit tests, regression tests, data validation checks, and deployment verification activities
Experience supporting production releases, operational incidents, defect triage, root-cause analysis, and post-release validation in enterprise or mission-critical environments
Experience supporting database and application deployments using CI/CD pipelines, release automation, and DevSecOps best practices
Experience working in Agile software development environments using Scrum, Kanban, or similar methodologies
Experience using source control and application lifecycle management tools such as Git, GitHub, Bitbucket, GitLab, or Azure DevOps
Experience using approved AI-assisted tools or automation practices to support code generation, optimization, testing, troubleshooting, documentation, code reviews, knowledge management, and engineering productivity improvements
Preferred Qualifications: Experience supporting Federal Government or large-scale enterprise applications
Experience supporting Grants Management, Financial Management, Case Management, Regulatory, or workflow-driven systems
Experience with Oracle Data Pump, Oracle GoldenGate, Informatica, Talend, ODI, Liquibase, Flyway, or similar data integration and migration tools
Experience with PostgreSQL, SQL Server, MySQL, or other enterprise database platforms
Experience supporting cloud modernization, database migration, or application modernization initiatives
Knowledge 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
Experience with data warehousing concepts, dimensional modeling, enterprise reporting, and business intelligence platforms such as Power BI, Tableau, or Amazon QuickSight
Experience supporting data pipelines and data platforms used for analytics, reporting, AI, and machine learning workloads
Familiarity with AWS cloud-native application and service deployment architectures
Oracle certifications, including Oracle Certified Professional, Oracle Database Administrator Certified Professional, and Oracle SQL Certified Associate
Experience evaluating and adopting emerging AI technologies to improve software engineering productivity, database development, operational efficiency, and modernization initiatives
Familiarity with modern AI data architectures, vector databases, retrieval-augmented generation, AI agents, knowledge management systems, and enterprise AI platforms
Experience participating in AI-driven modernization efforts, intelligent automation initiatives, or enterprise data and analytics programs
Hands-on experience with AI-powered development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q Developer, Cursor, ChatGPT Enterprise, Claude, Gemini, or similar platforms

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Oracle PL/ SQL Developer / Developer DBA at Employer not explicitly named in the posting

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