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Data Engineer - Object Intelligence; OBI Advanced Analyti Security Clearance

Job in Herndon, Fairfax County, Virginia, 20170, USA
Listing for: Peraton
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
  • Engineering
    Data Engineer
Job Description & How to Apply Below
Position: Data Engineer - Object Based Intelligence (OBI) Advanced Analyti with Security Clearance
About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.

The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit  to learn how we're keeping people around the world safe and secure. Program Overview About

The Role Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/ data analysis environments worldwide that enable speedy and precise decision making to warfighters. Responsibilities:
The Data Engineer - Object Based Intelligence (OBI) Advanced Analytic Method Augmentation utilizes skills in designing, building, operating and maintaining data management systems for intelligence needs that collect, store, and process data that enables high quality data-driven decisions and actions. This position will focus on OBI Advanced Analytic Method Augmentation. Responsibilities are, but are not limited to:
Data Engineering specifically:
* Design intelligence data storage, access, utilization, integration and management.
* Collaborate to determine, create, and populate high-quality data architectures, structures, and systems.
* Plan, design, and optimize data throughput and query performance.
* Support the selection, upgrades, and implementation of backend database technologies, to include their configuration, utilization, and optimization of the full data pipeline infrastructure. (e.g., SQL, No

SQL, HPC, etc.).
* Support data content, volume, Extract, Transition, Load (ETL), and rhythm for queries and analysis to achieve desired outcomes. OBI specifically:
* Manage complex, long-term projects involving design, development, and installation of new information systems.
* Perform technical studies to ensure the design meets user requirements.
* Conduct testing and promote the integration of new databases within the existing IT infrastructure.
* Discover sources of redundancy and design solutions for efficient integration or consolidation.
* Reduce costs of storage and maintenance by eliminating redundancy to improve the enterprise.
* Create test plans and scenarios; execute and document database test activities.
* Conduct operational readiness testing and transitional user support.
* Produce technical data/reports outlining the performance characteristics of databases and data services.
* Conduct assessments of trends and determine the impact of emerging technologies on the infrastructure.
* Identify and leverage containerization capabilities (e.g. Docker, Kubemetes, etc.).
* Identify and leverage infrastructure as code tools.
* Manage data management system to ensure repeatability and automation.
* Design, develop, test, and implement unstructured data management solutions, content extraction and tagging capabilities, data integration solutions, and complex data web services. Qualifications

Required Qualifications:

* Bachelor's degree in a relevant field, such as Data Engineering, with a minimum of 17 years of experience or Master's degree with a minimum of 12 years of work experience.
* Experience in data engineering, to include activities such as data processing, ETL, data warehousing, data systems design, development, testing, assessments, optimization/ operational excellence, and solutioning.
* Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
* Capability of preparing and presenting briefings to customer senior management to effectively communicate technical and complex data management issues and recommended solutions.
* Ability to…
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