Senior Data Engineer - Object Intelligence; OBI Advanced Analytic Method Augmentation

Senior Data Engineer - Object Based Intelligence (OBI) Advanced Analytic Method Augmentation

Job Location s: US-VA-Herndon | US-VA-Reston

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 do the can't be done by solving the most daunting challenges facing our customers. Visit  to learn how we're keeping people around the world safe and secure.

• 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, including configuration, utilization, and optimization of the full data pipeline infrastructure (e.g., SQL, No
  
  SQL, HPC, etc.).
• Support data content, volume, ETL, and rhythm for queries and analysis to achieve desired outcomes.
• 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, Kubernetes, etc.).
• Identify and leverage infrastructure as code tools.
• Manage the 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.

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.
• Strong experience in data engineering, including 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.
• Strong capability in preparing and presenting briefings to senior management to effectively communicate technical and complex data management issues and recommended solutions.
• Ability to work collaboratively with users and stakeholders.
• Capacity to adapt to changing situations and prioritize tasks effectively.
• Excellent communication, analytical, and problem‑solving skills.

Preferred Qualifications:

• Master’s degree in a relevant field, such as Data Engineering.
• Experience working in a customer environment.

Security Clearance: This position requires an active TS/SCI with the ability to obtain a CI Poly. US citizenship is required to hold this clearance.

$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.