Mid-level Data Engineer; OBI Advanced Analytic Method Augmentati Security Clearance

Position: Mid-level Data Engineer (OBI Advanced Analytic Method Augmentati with Security Clearance
Mid-level Data Engineer (OBI Advanced Analytic Method Augmentation) - OBIQUA Location Virginia, Reston Department BUSINESS DEVELOPMENT Employment Duration Full Time Celestar Corporation is seeking a Mid-level Data Engineer (OBI Advanced Analytic Method Augmentation) to support The Defense Intelligence Agency ( DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR).

If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity. ANTICIPATED AWARD:
December 2025/ January 2026 ANTICIPATED START:
February/March 2026 PERIOD OF PERFORMANCE:1 Base Year + 4 Option Years

LOCATION:

DIA Facilities across the National Capital Region (NCR) CLEARANCE REQUIREMENT:
Active TS/SCI with a Current CI Poly

About Us:

Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities:
This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).
• The Data Engineer (OBI Advanced Analytic Method Augmentation), Designs, implements, and operates data management systems for intelligence needs.
• Designs how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems.
• Works with data users to determine, create, and populate optimal data architectures, structures, and systems.
• Plans, designs, and optimizes data throughput and query performance.
• Participates in the selection of backend database technologies (e.g. SQL, No

SQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness.
• Manages complex, long term projects involving design, development, and installation of new information systems.
• Performs technical studies to ensure the design meets user requirements.
• Develops, integrates, and installs data management capabilities and databases.
• Collaborate with team members to develop or refine resilient and scalable extract, transform, load (ETL) pipelines using industry-standard tools and frameworks (e.g. Apache NiFi) to support and enable data acquisition, normalization, enrichment, and delivery across enterprise systems and platforms.
• Collaborate with team members to ensure ETL pipelines operate in accordance with security controls and rules, SLA requirements, and evolving data architecture needs.
• Collaborate with team members to develop, implement, and maintain Graph

QL APis to enable flexible and efficient access and aggregation of data across distributed sources.
• Designs data management capabilities, data integration solutions, and databases to ensure optimization, efficiency, and sustained operations.
• Performs systems analysis and feasibility studies to define concepts and design specifications for new or existing databases and content management solutions.
• Collaborate with team members to design, implement, ana maintain scalable, performant relational and non-relational database solutions (e.g. Postgre

SQL) to support ingestion, storage, retrieval, and analytics of data across enterprise systems.
• Conducts testing and promotes the integration of new databases within the existing IT infrastructure.
• Discovers sources of redundancy and designs solutions for efficiently integration or consolidating these sources in order to reduce costs of storage and maintenance, and to provide consistency to the enterprise.
• Creates test plans and scenarios and executes and documents database test activities (i.e. component, integration, systems,…