Database Engineer/ Database Administrator

About this role

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: 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 experience US 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 field ● Experience: 5+ years of related experience ● Required 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 using AWS 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: Remote ● Working 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.

GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. ● Growth: AI-powered career tool that identifies career steps and learning opportunities ● Support: An internal mobility team focused on helping you achieve your career goals ● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off ● Flexibility: Full-flex work week to own your priorities at work and at home ● Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $102,000 - $138,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours: 40

Travel Required: Less than 10%

T elecommuting Options: Remote

Work Location: Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance,

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