Database Developer/DBA

REI Systems•Sterling, VA

18h•Hybrid

About The Position

REI Systems is seeking experienced Developer / Database Administrators to support a mission-critical Federal Health IT program focused on application modernization, database engineering, data integration, analytics, and cloud-based solutions. The role involves designing, developing, maintaining, and optimizing enterprise database solutions for complex federal applications and business operations. It requires hands-on expertise in Oracle SQL and PL/SQL, database development, ETL processes, performance optimization, and AWS technologies. The Developer DBA collaborates with software developers, solution architects, DevOps and data engineers, Product Owners, and Agile delivery teams to deliver scalable, secure, high-performing database solutions. The role also includes opportunities to use approved AI-assisted development tools, intelligent automation, and modern DevSecOps practices to improve productivity, code quality, testing, and operational efficiency. The work supports federal cybersecurity and compliance requirements, including FISMA, NIST, and FedRAMP as applicable. The position is hybrid, with two days per week at REI Systems’ Sterling, Virginia office. A Federal Public Trust clearance must be obtained and maintained, with approved adjudication required before onboarding.

Requirements

At least 5 years of professional experience in Oracle database development, database engineering, ETL development, data integration, or related software engineering roles.
Strong hands-on experience with Oracle SQL and PL/SQL, including stored procedures, functions, packages, triggers, complex queries, views, materialized views, and sequences.
Experience with query optimization, indexing, execution plans, and performance tuning.
Experience with Oracle SQL Developer, SQLLoader, or similar Oracle development utilities.
Experience designing, developing, troubleshooting, and maintaining enterprise database solutions.
Hands-on experience developing ETL workflows, data transformation processes, batch processing, and data migration solutions.
Experience with AWS cloud technologies, including Amazon Redshift, Amazon RDS, and Amazon S3.
Experience with Matillion ETL or comparable ETL/data integration platforms.
Strong understanding of relational database architecture, logical and physical data modeling, normalization, referential integrity, and transaction management.
Experience supporting complex enterprise applications and production database environments.
Experience developing database unit tests, regression tests, data validation processes, and deployment verification scripts.
Experience supporting production deployments, incident management, root-cause analysis, and issue resolution.
Familiarity with CI/CD pipelines, source control, release automation, and DevSecOps practices.
Experience using Git, GitHub, GitLab, Bitbucket, Azure DevOps, or similar tools.
Experience working in Agile/Scrum development environments.
Familiarity with AI-assisted development tools and automation practices for improving software engineering productivity.
Understanding of secure development practices, data privacy, cybersecurity, and responsible AI adoption.
Strong analytical, troubleshooting, problem-solving, and communication skills.
Ability to work independently and collaboratively in a fast-paced, mission-driven environment.
Must be able to obtain and maintain a Federal Public Trust clearance; approved adjudication is required before onboarding.
Bachelor’s degree in Business, Engineering, Computer Science, or a related field.

Nice To Haves

Master’s degree.
Previous experience supporting Federal Government IT programs, particularly in Health IT or large-scale enterprise environments.
Experience with grants management, financial management, case management, or workflow-driven applications.
Experience with Oracle Data Pump, Oracle GoldenGate, Oracle Data Integrator (ODI), Informatica, Talend, Liquibase, or Flyway.
Experience with PostgreSQL, SQL Server, or MySQL.
Experience supporting cloud modernization, database migration, or application modernization initiatives.
Knowledge of data warehousing, dimensional modeling, enterprise reporting, and business intelligence technologies.
Experience with Power BI, Tableau, Amazon QuickSight, or comparable analytics platforms.
Familiarity with AWS cloud-native architectures and enterprise data platforms.
Experience supporting data pipelines for analytics, AI, or machine learning workloads.
Familiarity with AI-enabled DevSecOps, intelligent automation, and AI-assisted database engineering.
Knowledge of emerging AI technologies, including vector databases, retrieval-augmented generation (RAG), AI agents, and enterprise AI platforms.
Understanding of federal security and compliance requirements, including FISMA, NIST, and FedRAMP.
Active Federal Public Trust clearance or favorable suitability determination.
Relevant Oracle certifications, such as Oracle Certified Professional (OCP), Oracle Database Administrator Certified Professional, or Oracle SQL Certified Associate.

Responsibilities

Design, develop, implement, and maintain Oracle database solutions, including stored procedures, packages, functions, triggers, views, materialized views, and sequences.
Develop and optimize complex SQL queries and PL/SQL code for enterprise applications, reporting, and business processes.
Perform performance tuning, query optimization, indexing, partitioning, and execution plan analysis.
Design and maintain database schemas, data models, entity relationship diagrams, and database objects.
Develop database migration scripts, schema modifications, deployment packages, and automated database release processes.
Troubleshoot database performance, application integration, and data integrity issues.
Support database administration and operational activities, including monitoring, troubleshooting, and production support.
Design, develop, and maintain ETL workflows, data integration pipelines, and data transformation processes.
Develop and support batch processing, data migration, data validation, and reconciliation solutions.
Use Matillion ETL or comparable enterprise ETL tools to develop and maintain data integration pipelines.
Support cloud-based data engineering and analytics solutions using AWS services, including Amazon Redshift, Amazon RDS, and Amazon S3.
Analyze application data models, mappings, and enterprise data flows, and collaborate with application and data engineering teams on reliable integration across systems.
Support database and application modernization, cloud migration, and integration initiatives.
Partner with developers, architects, and technical teams to design database solutions aligned with business and technical requirements.
Develop and maintain database unit tests, regression tests, data validation scripts, and deployment verification processes.
Support CI/CD pipelines and automated database deployments using DevSecOps practices.
Participate in code reviews, technical design discussions, and troubleshooting.
Support production deployments, incident resolution, root-cause analysis, and post-release validation.
Maintain technical documentation, including database designs, deployment procedures, data mappings, and operational support guides.
Use approved AI-assisted development tools for SQL and PL/SQL development, testing, documentation, and troubleshooting.
Identify opportunities to automate repetitive database development, validation, and operational activities, and support AI-enabled SDLC practices.
Apply responsible AI practices while maintaining data security, privacy, and compliance requirements.
Participate in Agile ceremonies, including sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives.
Collaborate with Product Owners, Scrum Masters, business analysts, developers, and federal stakeholders.
Ensure database solutions meet security, governance, and compliance standards; support applicable federal cybersecurity requirements aligned with FISMA, NIST, and FedRAMP.
Implement secure database development practices, including access controls, audit logging, and data protection measures.