Peraton is seeking a Software Engineer to support a suite of web-based applications that automate data management for IC data custodians. In this role, you will work at the critical nexus between traditional and nontraditional threats across all domains.

What You'll Do

Devise strategies to extract meaning and value from structured and unstructured data.
Leverage statistical methods and/or machine learning to discover patterns and behaviors of entities.
Use query and visualization tools, such as DataXplorer and GMAE, to present question-focused datasets.
Work with various metadata domains to develop new methodologies for automated data characterization.
Analyze and develop requirements to support the characterization and ingestion of new and existing data types.
Collaborate with customer teams to understand direct mission needs and requirements.
Recommend new technologies and processes for complex software projects.
Serve as the technical lead of multiple software development teams.
Select the software development process in coordination with the customer and system engineering.
Ensure quality control of all developed and modified software.
Delegate programming and testing responsibilities to one or more teams and monitor their performance.
Develop simple data queries for existing or proposed databases or data repositories.

What We're Looking For

TS/SCI with Polygraph level clearance is required.
Twenty (20) years of experience as a SWE in programs and contracts of similar scope, type, and complexity.
Bachelor’s degree in Computer Science or a related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
Minimum of 6 recent years of development experience.

Nice to Have

Analytic development experience using scripting languages such as Python and Scala to use statistical libraries against data.
Skilled with big data processing frameworks such as Pig, MapReduce and Spark to scale algorithms over large volumes of data.
Experience employing a combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting value from large datasets.
Experience with predictive analytics, machine learning, and data mining.
Skilled with data flows, Pig scripting, Hadoop MapReduce, and various analytic tools.
Skilled working with development and SE teams, other stakeholders agencies, and leadership.
Knowledge of data indexing and analytic development.
Experience working with cloud service providers and data stewards.
Demonstrated experience in network metadata processing, manipulation, and analysis in support of intelligence analysis.
Java, analytic development experience, and a working knowledge of NIFI are highly desired.