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GD
General Dynamics Information Technology
Database Engineer/ Database Administrator
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What they do
A Database Administrator uses software to store and organize data, such as an organization's records or financial information. Ensures that users can easily access the information they need, and that data are protected from unauthorized access.
$109,196 / year median in the U.S.
-24% projected decline
Job Description
USA MD Home Office (MDHOME) Full time
RQ227475
Type of Requisition:
Regular Clearance Level Must Currently Possess:
None Clearance Level Must Be Able toObtain:
None Public Trust/Other Required:
NACI (T1)Job Family:
Data Science and Data Engineering Job Qualifications:
Skills:
Database Performance Tuning, PostgreSQL Administration, Python (Programming Language)Certifications:
None Experience:
5 + years of related experienceUS Citizenship Required:
No Job Description:
DATA ENGINEER/DATABASE ADMINISTRATOR
Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a Data Engineer Senior at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.MEANINGFUL WORK AND PERSONAL IMPACT
As a Data Engineer Senior, the work you'll do at GDIT will be impactful to the mission of the Centers for Medicare & Medicaid Services (CMS) Center for Program Integrity (CPI) on the Unified Case Management (UCM) system. As a PostgreSQL database engineer with administrator experience, you will play a crucial role in supporting the database quality and performance that will enhance the investigative capabilities against fraud, waste, and abuse within CPI.- Administer and support AWS-hosted PostgreSQL (Amazon RDS/Aurora) environments, including daily monitoring, backups, snapshots, restores, and routine maintenance.
- Manage database snapshot retention, restoration, and refresh processes across production, lower environments, reporting schemas, and test environments.
- Provide database/migration support for major application releases, including schema changes, data fixes, rollback planning, and deployment validation.
- Monitor health, storage, connections, locks, long-running queries, vacuum/analyze activities, and replication status to ensure stability and performance.
- Perform advanced SQL performance tuning (query optimization, indexing strategy, execution plan analysis, table maintenance).
- Troubleshoot incidents and performance bottlenecks across databases, pipelines, and application connectivity.
- Manage database security (role management, access provisioning) and support audits.
- Design, build, and maintain data pipelines using Python, SQL, and AWS data services for ingestion, transformation, migration, and reconciliation.
- Support change data capture (CDC) and streaming architectures using
AWS DMS, AWS
Kinesis, Debezium, and Amazon MSK/Apache Kafka.- Enable near real-time movement from PostgreSQL to downstream platforms (e.g., reporting schemas, data lakes, Snowflake, Databricks).
- Develop automation scripts for data movement, validation, reconciliation, and operational support.
- Collaborate with application, DevOps, data platform, reporting/analytics, QA, and business teams to ensure data consistency and reliability; drive root-cause analysis and remediation of data quality issues.
WHAT YOU'LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. A successful Data Engineer Senior must have:Education:
Bachelors Degree in Computer Science, Data Science, or Information Systems or related fieldExperience:
5+ years of related experienceRequired Technical Skills:
AWS RDS/Aurora PostgreSQL administration (monitoring, backup/restore, snapshots, environment refreshes). Advanced SQL and performance tuning (query optimization, indexing, execution plans). Python for data engineering, automation, and pipeline development.Preferred Experience and Skills:
CDC/streaming usingAWS DMS, AWS
Kinesis, Debezium, Amazon MSK/Apache Kafka; logical replication, WAL, replication slot management. Data pipeline design and operations for ingestion/transform/migrate; near real-time data movement into Snowflake, Databricks, or data lakes. Troubleshooting performance across databases, SQL, pipelines, and integrations; release-related database scripting/support. ETL/ELT tools, orchestration/workflow automation; shell scripting, Git, CI/CD; Agile/Scrum or SAFe environments. Familiarity with data governance, data quality, metadata/lineage, and reconciliation processes. Experience with regulated enterprise systems (e.g., healthcare, government, financial)Location:
RemoteWorking Hours:
40 hours per week, available within the core hours of Monday-Friday 9am to 5pm EST.- Residency requirement: Must have lived in the United States at least three (3) out of the last five (5) years.