Database Developer

Overview

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.

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

Essential

Skills and Experience:

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., Postgre

SQL, 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

Preferred

Skills and Experience:

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 No

SQL databases (Mongo

DB, 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

SCCI is committed to providing a comprehensive and competitive benefits package to meet the needs of Employees and their families. EOE of Veterans and Disabilities.
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