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Technologies: Microservices, AWS, Docker, Kafka, Kubernetes, Cassandra, Java 11, ReactJS, Spring Boot/Cloud/Data, Redis, Postgres. A Bachelor’s degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university; Agile experience preferred.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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TKO provides systems engineering, software development, data science and cloud development and engineering services to the Cyber Infrastructure Solutions customer.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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As a Jr. Data Modeler Engineer, you'll be empowered to create new realities and pioneer solutions that break boundaries. Working knowledge of data collection and processing through analysis or data flow engineering.
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Bachelor's of Science in: Materials Science, Mechanical Engineering, Aerospace Engineering, Structural Engineering, Physics or related field specializing in thermodynamics and heat transfer with 9 years of experience, a M.S Degree with 7 years of experience, or a PhD with 4 years of experience.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Software Engineer. 802 Delaware Avenue (18052), United States of America, Wilmington, DelawareSenior Software Engineer, DevOps.
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As a Principal Software Engineer with our Intel Division, you will develop, maintain, and enhance 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.
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Leidos is hiring an energetic, motivated, innovative individual to be a part of our team supporting Center for Medicare and Medicaid Services (CMS) in Baltimore, MD. The Software Development Cloud Engineer works closely with the Program team to manage, maintain, and optimize application's performance, durability, and cost to best support CMS and the public.
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You have some experience in one or more of the following areas: astronomical data calibration and reduction (e.g., imaging, spectra, catalogs), scientific instrumentation, optics, astronomical observatory operations, astronomical research, statistical analysis, scientific programming (especially in python), software engineering, and development of astronomical software packages.
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Maintain a high performing Data Science, Engineering, and BI team that supports the data integration and business insights needs of various internal and external systems. VP of Data Science & BI will report into EVP Technology and will be accountable for a portfolio of Platforms, Applications, and Services that deliver the vision of “Connected Enterprise.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language ( e.g. Python), statistical analysis ( e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management ( e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Strong hands-on experience Informatica Enterprise Data Catalog, Axon and Data Engineering Integration. 5 + years of Experience working with Informatica Enterprise Data Catalog, Axon and Data Engineering Integration.
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software engineering data science engineer cloud jobs Title: warehouse Company: Dice in Linthicum Heights, MD
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