Senior Data Engineer (OBI Advanced Analytic Method Augmentation) - OBIQUA

Celestar Corporation is seeking a Senior 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 Senior 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, NoSQL, 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 GraphQL APis to enable flexible