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Development Sql Test Jobs In Baltimore Md - 6 Job Positions Available

1 – 6 of 6 jobs
Johns Hopkins University jobs

IT@JH University Information Systems is seeking a Business Solution Quality Analyst (BSQA) who supports University Information Systems by gathering requirements, performing systems analysis, developing test cases, coordinating testing, and creating automated test scripts for enterprise systems, including the

Johns Hopkins University  18 days ago
Johns Hopkins University jobs

The Johns Hopkins Data Science and AI Institute (DSAI) is a pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning

Johns Hopkins University  18 days ago
General Dynamics Information Technology jobs

Type of Requisition:Regular Clearance Level Must Currently Possess:None Clearance Level Must Be Able to Obtain:None Public Trust/Other Required:NACI (T1) Job Family:Professional Engineering Job Qualifications: Skills:Integration Testing, Oracle E-Business Suite, Regression Testing Software Certifications:None Experience:5 + years

General Dynamics Information Technology  16 days ago
GDIT jobs

Type of Requisition:Incumbent Clearance Level Must Currently Possess:None Clearance Level Must Be Able to Obtain:None Public Trust/Other Required:NACI (T1) Job Family:Software Engineering Job Qualifications: Skills:Product Management, Product Release, Product Strategies, Product Vision, Roadmap Planning Certifications:None Experience:10

GDIT  4 days ago
InVita Healthcare Technologies jobs

About InVita Healthcare Technologies InVita Healthcare Technologies is a leading software provider for complex medical, forensics, and community care environments. We build specialized, highly configurable, and integrated systems that support hospitals, blood centers, donation organizations, public

InVita Healthcare Technologies  2 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  16 days ago
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