Vencore is a proven provider of information solutions, engineering and analytics for the U.S. Government. With more than 40 years of experience working in the defense, civilian and intelligence communities, Vencore designs, develops and delivers high impact, mission-critical services and solutions to overcome its customers most complex problems.
Headquartered in Chantilly, Virginia, Vencore employs 3,800 engineers, analysts, IT specialists and other professionals who strive to be the best at everything they do.
Vencore is an AA/EEO Employer - Minorities/Women/Veterans/Disabled
Provide technical expertise on cloud cluster computing techniques and technologies and expert advice to the program, and related cloud computing architectures. Optimize memory management identifying the best ways to develop distributed cluster-enabled and graph processing algorithms. Assist customers with data integration and migration efforts, including mapping schemas, performing RDF translations, and defining domain specific ontologies, where applicable. Develop large data technologies, algorithms, and applications for clients. Research, evaluate, and deploy advanced cloud computing systems and large data analytics for clients in research and production areas. Work with massive data sets, complex algorithms, and team members from a variety of specialties to solve clients' hardest problems. Support a range of clients from front line analysts to researchers and senior leadership. Work as a key contributor on a collaborative, fast-growing, and highly skilled software development team. Experience with information extraction and analysis techniques, practices, and algorithms. Knowledge of a variety of advanced computer science and mathematical concepts, practices, and procedures associated with the analysis of large datasets, from indexing schemes to statistical tests-Knowledge of Cloud computing, Hadoop or MapReduce, Netezza, Vertica, BigTable, Pig, Terradata, or Amazon Web Services-Ability to obtain a security clearance. Experience with data mining or machine learning preferred. Apply expert knowledge in computer science, particularly in the Semantic Web and cloud computing environments.
Candidate to provides systems engineering and cloud migration support to client in the WMA, to include:
providing design and integration support;
interface with contractors and customer management to ensure progress on activities;
provide technical guidance to the customer regarding contractor proposals;
recommending and evaluating solutions to discrepancies and problems;
Requires 5 to 8 years with BS/BA or 3 to 5 years with MS/MA or 0 to 2 years with PhD.