Database Developer

SOUTHEASTERN COMP CONSULTANTS INC•Dahlgren, VA

8d•Onsite

About The Position

SCCI is seeking a mid-level Database Developer to join our team! In this position you will support the design and implementation of a cohesive enterprise data ontology across a diverse portfolio of projects and systems. This role is central to transforming fragmented and unstructured data into a unified, well-modeled data ecosystem that supports analytics, interoperability, and long-term scalability. If you have strong database design expertise to support relating data across systems join our team and work closely with architects, data engineers, and domain stakeholders to define consistent data structures, normalize and map disparate datasets, and contribute to a shared enterprise data vision. This position is located in Dahlgren, VA. SCCI offers a comprehensive and competitive benefits package including Health, Dental, Vision, Life and Disability benefits, 401k with Company Match, time off consisting of 2 weeks of paid vacation, 48 hours of sick/personal leave, and 11 paid Holidays.

Requirements

Must be a U.S. Citizen and be able to obtain and maintain an active Secret Security Clearance
Bachelor's (BS) Degree in Information Systems, Computer Science, Engineering, or Math; Or five (5) years technical experience with information management in lieu of degree
Three (3) - Six (6) years of experience in database development
Strong proficiency in SQL and relational database design (e.g., PostgreSQL, SQL Server, Oracle, MySQL)
Experience designing normalized schemas and understanding tradeoffs with denormalization
Familiarity with handling semi-structured/unstructured data (e.g., JSON, XML, document stores)
Experience with ETL/ELT processes and data transformation pipelines
Solid understanding of data modeling concepts (ER diagrams, dimensional modeling, etc.)
Ability to translate business/domain concepts into structured data representations

Nice To Haves

Active Secret Security Clearance
Experience contributing to or working with data ontologies, semantic models, or knowledge graphs
Familiarity with data cataloging, metadata management, or data governance tools
Exposure to NoSQL databases (MongoDB, Cassandra, etc.) and hybrid data architectures
Experience with cloud data platforms (AWS, Azure, GCP)
Experience with Docker containerization
Knowledge of data lineage, data quality frameworks, and master data management (MDM)
Basic scripting or programming skills (Python, Bash Script, etc.) for data processing

Responsibilities

Database Design & Modeling Design, implement, and maintain relational and non-relational database schemas aligned with enterprise data standards
Develop logical and physical data models that support scalability, performance, and maintainability
Normalize and optimize table structures while balancing performance considerations
Enterprise Data Ontology Development Contribute to the definition and evolution of an enterprise-wide data architecture
Map data elements across systems into a unified conceptual model
Define relationships, hierarchies, and semantic consistency across datasets
Collaborate with stakeholders to standardize naming conventions and data definitions
Structured & Unstructured Data Integration Analyze unstructured and semi-structured data (JSON, logs, documents, etc.) and design strategies to structure and integrate it
Develop transformation pipelines to align disparate data sources into cohesive schemas
Support metadata tagging and classification efforts
Data Transformation & ETL Support Build and maintain a pipeline to extract, transform, load (ETL/ELT) and cleanse data
Ensure data integrity, consistency, and traceability across systems
Support data lineage and auditability requirements
Cross-System Data Alignment Work across multiple project teams to reconcile differences in data structures and definitions
Identify duplication, inconsistency, and gaps in existing data models
Propose and implement standardized solutions
Performance & Optimization Tune queries, indexes, and database configurations for performance and efficiency
Monitor database health and implement improvements as needed
Documentation & Governance Maintain clear documentation of schemas, data models, and ontology mappings
Support data governance initiatives, including data quality standards and validation rules
Contribute to best practices and development standards