Supports a suite of web-based applications that automate data management for data custodians. The products facilitates the capture of information and approvals that allow for the movement of data through the customer space in a compliant manner. These products are critical to the standardize and simplify data movement as well as data reuse and integration with downstream tools. The team is seeking a Principal Software Engineer to 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, to present question focused datasets in a story like manner; work with various domains of metadata 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 needs and requirements; devise strategies to extract meaning and value from structured and unstructured data; and collaborate with customer teams to understand needs. The team is looking for someone that is 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/python, analytic development experience, and working knowledge of NIFI are desired.
The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.
Requirements
TS/SCI with poly requiredBenefits