Location: Bolling AFB, District of Columbia
US Citizenship Required for this Position: Yes
Clearance Type: Polygraph
Telecommute: No -Teleworking not available for this position
Shift: 1st Shift
Travel Required: Yes, 10 % of the Time
Positions Available: 1
Peraton 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 and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our 22,000 employees do the can’t be done, solving the most daunting challenges facing our customers. The Peraton Space and Intelligence Sector is seeking an experienced Data Engineer to join our team of qualified, diverse individuals located in Washington, D.C. and will be responsible for leading a team supporting open source collection activities for the Defense Intelligence Agency (DIA). The team will perform collection and exploitation of open source information and update and deploy a virtualized architecture to enable DIA to rapidly exploit “best of breed” data collected from open source information. The architecture will include social networking, multi-media, open source information, first line business intelligence applications, and software systems. Responsibilities include (but not limited to) the following tasks:
Utilize statistical techniques to analyze and extract relevant information from large amounts of data.
Create, Validate, and Implement data models to solve problems/answer questions
Automate and optimize data extraction, cleaning, processing and analysis functions.
Design and implement data pipelines and integrate analytics scripts and algorithms.
Offer technical expertise to the planning, design, development and maintenance of a data management system.
Deliver data analysis used to generate automated data cleaning/rescaling/discretization algorithms.
Provide support in designing data workflows for the data cleaning scripts and will be the primary implementer for this solution.
Support in the creation of documentation that explains how the algorithms and scripts will achieve the stated objectives to improve data quality.
Function as the on-site project manager.
Bachelor’s Degree and a minimum of 10 years of relevant professional experience, OR a High School Diploma and a minimum of 14 years of relevant professional experience (in lieu of a degree).
Must have experience applying semantic data modeling techniques to classify, aggregate, and generalize data stored in hierarchical, network, or relational database management systems to define the meaning of data within the context of its interrelationships with other data.
Must have experience transforming semantic data models into physical database designs.
Must have experience writing software and using COTS, GOTS and open source software to extract objects (e.g., entities, events, documents, and relationships) from structured and unstructured data and multimedia (e.g. exif) and transform and load data
Must hold a current/active Top Secret SCI clearance with Polygraph.
Experience with relational and object-relational Databases (Postgress, SQL Server, MySQL), Key value stores, Inverted Indexes (Lucene, Elastic Search), and distributed file systems (e.g. Tachyon, HDFS)
Detail-oriented and have excellent verbal and written communications skills, leadership skills, and organization skills.
Experience developing ETL code using Java and Python.
Experience with open source data ETL.
Experience applying machine learning and performing data mining, predictive data modeling, clustering and classification
Ability to work independently, and as a team member.
We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law.
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