Mid-level Data Engineer; OBI Advanced Analytic Method Augmentation - OBIQUA

Overview

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 opportunity.

ANTICIPATED AWARD: TBD

ANTICIPATED START: TBD

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

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.

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), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support data volume, ETL, and periodicity of data to support the intended queries and analysis.
• 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.
• Collaborates with team members to develop or refine resilient and scalable ETL pipelines using industry-standard tools and frameworks (e.g., Apache NiFi) to support data acquisition, normalization, enrichment, and delivery across enterprise systems and platforms.
• Collaborates to ensure ETL pipelines operate under security controls, SLA requirements, and evolving data architecture needs.
• Collaborates to develop, implement, and maintain Graph
  
  QL APIs to enable flexible access and aggregation of data across distributed sources.
• Designs data management capabilities, data integration solutions, and databases to optimize 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.
• Collaborates to design, implement, and maintain scalable 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 IT infrastructure.
• Identifies sources of redundancy and designs solutions to consolidate data sources, reduce storage costs, and provide consistency across the enterprise.
• Creates test plans and scenarios and executes database test activities (component, integration, systems, compatibility, user acceptance, performance/stress).
• Conducts operational readiness testing and transitional user support.
• Monitors services and upgrades data services, content management systems, and databases.
• Produces technical data and reporting outlining the performance characteristics of specified databases and data services in the DIA infrastructure.
• Analyzes database and system reports to ensure optimal performance.
• Develops disaster recovery planning to ensure data and access reliability and database integrity during crises.
• Analyzes, evaluates and provides recommendations on data service, data management and database technologies based on performance, cost, and security requirements.
• Assesses current trends and determines the impact of emerging technologies on the existing infrastructure.
• Evaluates current and planned programmatic solutions to manage, organize, and transform data outside of databases to ensure unstructured data integrity, security, access, and formats.
• Identifies and leverages containerization capabilities (e.g., Docker, Kubernetes) and infrastructure as code tools to manage resources and ensure repeatability and automation.
• Independently designs, develops, tests, and implements unstructured data management solutions, content extraction and tagging, data integration solutions, and complex data web services.
• Designs, upgrades and maintains data service versioning to ensure…