Developer DBA

FM Talent Source•McLean, VA

1d•$100,000 - $130,000

About The Position

FM Talent Source is seeking a Developer DBA for a full-time contract opportunity supporting the GrantSolutions platform. The role supports application development, database engineering, data integration, analytics enablement, and operational database activities. The Developer DBA designs, develops, tests, maintains, and optimizes Oracle database solutions, including PL/SQL code, ETL processes, data migration scripts, and performance-tuned database objects. The position works with application developers, architects, DevOps and data engineers, Product Owners, Scrum teams, business stakeholders, and Federal partners on mission-critical applications and modernization initiatives. It also supports AI-enabled engineering by using approved AI-assisted development and automation tools to improve productivity, code quality, documentation, testing, troubleshooting, and software delivery. The role operates in an Agile environment and supports production operations, releases, security and compliance requirements, and continuous improvement of database and cloud data capabilities.

Requirements

Must be able to obtain and maintain a Public Trust clearance.
Bachelor’s degree required.
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, and performance tuning; experience with Oracle tools such as SQL Developer and SQLLoader.
Ability to design, develop, optimize, troubleshoot, and maintain database solutions for enterprise and mission-critical applications.
Experience designing and implementing ETL solutions, data transformation processes, batch processing frameworks, and data migrations.
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 pipeline platforms.
Understanding of relational database architecture, logical and physical data modeling, ERDs, normalization, indexing, query optimization, transaction management, and referential integrity.
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.
Experience supporting production releases, incidents, defect triage, root-cause analysis, and post-release validation in enterprise or mission-critical environments.
Ability to troubleshoot database, data quality, integration, and application performance issues across distributed environments.
Experience supporting database and application deployments through CI/CD pipelines, release automation, and DevSecOps practices.
Experience working in Agile environments using Scrum, Kanban, or similar methodologies.
Experience with source control and application lifecycle tools such as Git, GitHub, Bitbucket, GitLab, or Azure DevOps.
Experience using approved AI-assisted tools or automation for code generation, optimization, testing, troubleshooting, documentation, code review, knowledge management, and productivity improvement.
Understanding of Responsible AI, AI governance, cybersecurity, data privacy, and secure AI adoption in enterprise or government settings.
Familiarity with AI-enhanced SDLC practices, AI-assisted DevSecOps, intelligent automation, and emerging AI engineering patterns.
Strong analytical, problem-solving, communication, and organizational skills; ability to manage competing priorities, work independently or collaboratively, and adapt to emerging technologies.

Nice To Haves

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 controls aligned with FISMA, NIST, or FedRAMP.
Experience with data warehousing, dimensional modeling, enterprise reporting, and business intelligence platforms such as Power BI, Tableau, or Amazon QuickSight.
Experience supporting data pipelines and platforms for analytics, reporting, AI, and machine learning workloads.
Familiarity with AWS cloud-native application and service deployment architectures.
Oracle certifications, including Oracle Certified Professional (OCP), Oracle Database Administrator Certified Professional, or Oracle SQL Certified Associate.
Experience evaluating and adopting emerging AI technologies for software engineering productivity, database development, operational efficiency, and modernization.
Familiarity with AI data architectures, vector databases, retrieval-augmented generation (RAG), AI agents, knowledge management systems, and enterprise AI platforms.
Experience participating in AI-driven modernization, intelligent automation, or enterprise data and analytics programs.
Hands-on experience with AI development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q Developer, Cursor, ChatGPT Enterprise, Claude, or Gemini.

Responsibilities

Design, develop, and support Oracle database solutions, including packages, stored procedures, functions, triggers, views, materialized views, and sequences.
Develop, enhance, and optimize SQL and PL/SQL code for application functionality, reporting, integrations, and business operations.
Create and maintain database migration scripts, schema updates, release deployment packages, and automated database deployment processes.
Design, build, and support ETL workflows, data transformations, validation frameworks, and batch data processing solutions.
Analyze data models, database schemas, enterprise data flows, ERDs, and data mappings.
Develop and support cloud-based data integration, reporting, and analytics using AWS services such as Redshift, S3, and RDS.
Build and maintain data integration pipelines using Matillion ETL and other enterprise integration platforms.
Troubleshoot database, data quality, application integration, and performance issues across environments.
Tune database performance using execution plans, indexing, partitioning, optimizer statistics, and Oracle diagnostic and monitoring tools.
Collaborate with software engineers, architects, DevOps engineers, and business stakeholders to deliver data solutions.
Participate in Agile activities, including sprint planning, backlog refinement, standups, code reviews, sprint reviews, and retrospectives.
Contribute to DevSecOps and CI/CD initiatives through automated testing, deployment, monitoring, and compliance practices.
Create and maintain technical documentation, including database designs, data mappings, interface specifications, procedures, and support guides.
Develop and support database unit, regression, data validation, and automated testing for SQL, PL/SQL, ETL, and migration changes.
Support production operations, release deployments, incident troubleshooting, root-cause analysis, and post-deployment validation.
Use approved AI-powered development tools for SQL and PL/SQL development, code review, troubleshooting, documentation, testing, and knowledge sharing.
Identify opportunities to apply AI and intelligent automation to database development, data engineering, deployment, monitoring, operations, and productivity.
Support data governance, security, privacy, and compliance through least-privilege access, auditability, encryption-aware handling, and applicable Federal controls such as FISMA, NIST, and FedRAMP.
Evaluate emerging database, cloud, AI, and data engineering technologies and recommend improvements.