AWS Database Engineer
Job Title: AWS Database EngineerJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: Public TrustEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Local* * * The Opportunity:
CACI is seeking an experienced AWS Database Engineer to support application development, database engineering, data integration, analytics enablement, and operational database activities for the GrantSolutions platform. This position supports mission-critical Federal applications and modernization initiatives and requires hands-on expertise across Oracle, PostgreSQL, AWS database technologies, and cloud-based data solutions.
The AWS Database Engineer will work closely with application developers, architects, DevOps engineers, data engineers, Product Owners, Scrum teams, business stakeholders, and Federal partners to deliver reliable, scalable, secure, and high-performing database solutions. The ideal candidate is a self-starter with strong analytical and problem-solving skills who can quickly understand complex application data models and work effectively in an Agile environment.
This role also supports AI-enabled engineering initiatives , including the use of approved AI-assisted development and automation tools to improve engineering productivity, quality, testing, troubleshooting, documentation, and software delivery.
Responsibilities:
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Design, develop, and support Oracle database solutions, including packages, stored procedures, functions, triggers, views, materialized views, sequences, and complex SQL and PL/SQL solutions.
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Develop, enhance, and optimize SQL, PL/SQL, and PL/pgSQL code supporting application functionality, reporting, integrations, and business operations.
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Design, develop, administer, and optimize PostgreSQL solutions on Amazon RDS, including schemas, functions, procedures, triggers, views, extensions, indexing, partitioning, query tuning, parameter configuration, backup and recovery, high availability, and troubleshooting.
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Create and maintain database migration scripts, schema updates, release deployment packages, and automated database deployment processes.
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Design, build, and support ETL workflows, data transformation processes, validation frameworks, batch processing, and data integration pipelines using Matillion ETL and similar platforms.
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Analyze complex data models, database schemas, ERDs, enterprise data flows, and data mappings to support application and business requirements.
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Design, configure, administer, monitor, secure, and troubleshoot AWS database and data solutions using Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS DMS, AWS SCT, Amazon CloudWatch, AWS Secrets Manager, AWS KMS, IAM, and related AWS services.
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Implement and support AWS database migration, replication, and modernization activities, including schema assessment and conversion, endpoint configuration, full-load and change-data-capture workflows, validation, monitoring, cutover planning, and post-migration verification.
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Implement database monitoring, logging, backup, recovery, high availability, encryption, credential management, access control, and other operational capabilities.
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Perform database performance tuning using execution plans, indexing strategies, partitioning, optimizer statistics, and Oracle diagnostic and monitoring tools.
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Troubleshoot and resolve database issues, data quality concerns, application integration challenges, performance bottlenecks, and production incidents across distributed environments.
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Collaborate with software engineers, architects, DevOps engineers, data engineers, and business stakeholders to deliver scalable and reliable data solutions.
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Participate in Agile development activities, including sprint planning, backlog refinement, daily standups, code reviews, sprint reviews, and retrospectives.
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Contribute to CI/CD and DevSecOps initiatives through automated testing, de