The project supports a suite of web-based applications that automate data management for IC data custodians. The products facilitate the capture of information and approvals that allow for the movement of data through the customer mission space in a compliant manner. These products are critical to standardize and simplify data movement as well as data reuse and integration with downstream tools. The TTO is performed out of the Peraton facility and offers flexible hours.
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 in a story-like manner.
Work with various domains of metadata to develop to develop new methodologies and techniques 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.
Devise strategies to extract meaning and value from structured and unstructured data and collaborate with customer teams to understand mission needs.
Recommend new technologies and processes for complex software projects and 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.
S/SCI with Polygraph level clearance is required.
Bachelor's degree in Computer Science or a related discipline from an accredited college or university. (Four (4) additional years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree.)
Twenty (20) years of experience as a Software Engineer (SWE) supporting programs and contracts of similar scope, type, and complexity.
Minimum of 6 recent years of development experience.
Knowledgeable with data enrichment/conversion methods, familiar with data ontologies/schemas, strong knowledge of structured data types (XML, CSV, JSON), and has database experience.
JAVA, analytic development experience, and working knowledge of NIFI are highly desired.
Desired Qualifications:
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 combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning and 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.
