
10,000+ employees
Founded 1962
💼 Consulting
🎖️ Defense
Consulting • Defense • IT
CACI International Inc is a diversified company that provides a wide range of services and solutions primarily to the U. S. government and commercial sectors. CACI specializes in offering security services, IT solutions, and intelligence support, helping clients enhance their cyber capabilities and secure their networks. The company is recognized for its innovative workforce and the technology it provides to clients in enterprise and mission-critical environments. CACI is committed to diversity and inclusion, offering an array of career opportunities for both new graduates and experienced professionals, including veterans.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $90.3k - $189.6k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔙 Backend Engineer
👻 Ghost score 0%
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10,000+ employees
Founded 1962
💼 Consulting
🎖️ Defense
Consulting • Defense • IT
CACI International Inc is a diversified company that provides a wide range of services and solutions primarily to the U. S. government and commercial sectors. CACI specializes in offering security services, IT solutions, and intelligence support, helping clients enhance their cyber capabilities and secure their networks. The company is recognized for its innovative workforce and the technology it provides to clients in enterprise and mission-critical environments. CACI is committed to diversity and inclusion, offering an array of career opportunities for both new graduates and experienced professionals, including veterans.
• Support application development, database engineering, data integration, analytics enablement, and operational database activities for the GrantSolutions platform • Design, develop, and support Oracle database solutions, including packages, stored procedures, functions, triggers, views, materialized views, sequences, and complex SQL/PL/SQL solutions • Develop, enhance, and optimize SQL, PL/SQL, and PL/pgSQL code • Design, develop, administer, and optimize PostgreSQL solutions on Amazon RDS • Create and maintain database migration scripts, schema updates, release deployment packages, and automated database deployment processes • Design, build, and support ETL workflows, data transformation processes, validation frameworks, batch processing, and data integration pipelines • Analyze complex data models, database schemas, ERDs, enterprise data flows, and data mappings • Design, configure, administer, monitor, secure, and troubleshoot AWS database and data solutions • Implement AWS database migration, replication, and modernization activities • Implement database monitoring, logging, backup, recovery, high availability, encryption, credential management, and access control • Perform database performance tuning • Troubleshoot database issues, data quality concerns, application integration challenges, performance bottlenecks, and production incidents • Collaborate with software engineers, architects, DevOps engineers, data engineers, business stakeholders, and Federal partners • Participate in Agile development activities including sprint planning, backlog refinement, daily standups, code reviews, sprint reviews, and retrospectives • Contribute to CI/CD and DevSecOps initiatives • Develop and maintain technical documentation • Develop and support database unit testing, regression testing, data validation, migration testing, and deployment verification • Support production releases, incident troubleshooting, defect triage, root-cause analysis, and post-deployment validation • Leverage approved AI-powered development tools for development, testing, troubleshooting, documentation, and knowledge sharing • Identify opportunities to apply AI and intelligent automation • Support data governance, security, privacy, and compliance requirements including FISMA, NIST, and FedRAMP controls • Evaluate emerging database, cloud, AI, and data engineering technologies
• Must be able to obtain and maintain a Federal Public Trust; candidates must receive approved adjudication before onboarding • Bachelor’s degree required • Minimum of five (5) years of 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 • Hands-on experience with PostgreSQL and PL/pgSQL • Hands-on experience with AWS database solutions including Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS DMS, AWS SCT, Amazon CloudWatch, AWS Secrets Manager, AWS KMS, and IAM • Hands-on experience implementing AWS database migration and replication solutions • Experience with ETL, data transformation, batch processing, data integration, and cloud-native data pipeline platforms such as Matillion ETL or similar technologies • Strong understanding of relational database architecture, logical and physical data modeling, ERDs, normalization, indexing, query optimization, transaction management, and referential integrity • Experience supporting enterprise database deployments, production operations, database testing, CI/CD, DevSecOps, Agile development, source control, and incident/root-cause analysis • Experience with source control and application lifecycle management tools such as Git, GitHub, Bitbucket, GitLab, or Azure DevOps • Experience using approved AI-assisted development tools or automation practices • Understanding of Responsible AI, AI governance, cybersecurity, data privacy, and secure AI adoption within enterprise or government environments • Strong analytical, problem-solving, communication, and organizational skills • Desired: Experience supporting Federal Government or large-scale enterprise applications • Desired: Experience with Oracle Data Pump, Oracle GoldenGate, Informatica, Talend, ODI, Liquibase, Flyway, or similar technologies • Desired: Experience with Amazon Aurora PostgreSQL-Compatible Edition, SQL Server, MySQL, or other enterprise database platforms • Desired: Experience with cloud, database, or application modernization initiatives and Federal security practices aligned with FISMA, NIST, or FedRAMP • Desired: Experience with data warehousing, dimensional modeling, enterprise reporting, business intelligence, and analytics platforms • Desired: Experience supporting data platforms for analytics, AI, machine learning, or enterprise reporting workloads • Desired: Familiarity with AWS cloud-native application and service deployment architectures • Desired: Oracle certifications • Desired: Experience with modern AI data architectures • Desired: Experience with AI-powered development tools
• Flexible time off benefit • Robust learning resources • Learning and development opportunities • Healthcare benefits • Wellness benefits • Financial benefits • Retirement benefits • Family support benefits • Continuing education benefits • Time off benefits
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