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

Peraton•Herndon, VA

49d

About The Position

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, NoSQL, 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.

Requirements

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 work collaboratively with users and stakeholders.
Capacity to adapt to changing situations to prioritize tasks effectively.
Excellent communication, analytical, and problem-solving skills.
This Position requires an Active TS/SCI and the ability to obtain a CI Poly, US Citizenship is required to hold this clearance.

Nice To Haves

Master's degree in a relevant field, such as Data Engineering.
Experience working in the customer environment is preferred.

Responsibilities

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, NoSQL, HPC, etc.).
Support data content, volume, Extract, Transition, Load (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, 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.