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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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Merkle's expertise has earned recognition as a "Leader" by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management.
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Today’s dynamic global security threats require solutions both big and small – solutions living within the Northrop Grumman Microelectronics Center (NGMC). Coordinate between the System Architect, Chief Engineer, Product Team Lead(s), program manager, and customer to ensure the integrity and executability of the program technical baseline.
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This position will work alongside Black Lotus Labs advanced security researchers, data engineers, malware reverse engineers, data scientists, and our customers to tackle evolving threats accelerated by technologies like our Hadoop ecosystem (HBase, HDFS, Spark, Kafka, AirFlow), Elasticsearch and Redis clusters, Docker using Docker Swarm, malware environment, and a network of honeypots.
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Data Collection : Perform calculations and data reduction based on sampling, test results, and inspections; Engage in drafting and other administrative duties as required; Develop skills in documentation and prepare field reports that document site observations for field work performed.
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What we offer: RBT , BCaBA, and BCBA Training , Supervision, and Examination Fees Comprehensive training on ABA Opportunity to grow in the field of ABA Great work culture Salary range $20-$28.00 an hour Electronic data collection Paid training Meaningful work-life balance with flexible full and part-time working schedules Career opportunities within the STEPS organization.
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Familiarity with Modern Data Stack concepts such as Composable CDP, Data Mesh, and reverse ETL is a plus. Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.
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The primary duty of this role is to support our nationwide team providing guidance and review support for incoming project and data quality documentation for a wide range of water quality protection and habitat restoration grant projects.
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Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization.
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As a Data Analyst/Systems Engineer. Have proficiency with Python data science libraries (e.g. NumPy, Pandas). Are proficient in using Python and/or MATLAB to perform data manipulation and visualization.
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Conferences(recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications:Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Technologies: Microservices, AWS, Docker, Kafka, Kubernetes, Cassandra, Java 17, Kotlin, ReactJS, Spring Boot/Cloud/Data, Redis, Postgres. Our work depends on a Java Developer (Clearable) joining our team to support a GDIT program that we are the prime on and is located at Annapolis Junction, MD. As a J ava Developer (Clearable), you will develop highly efficient Microservices on a Linux operating system utilizing Java and Kotlin, for use in Docker/Kubernetes high-volume data-processing applications, while practicing modern Agile methodologies.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Develop simple data queries for existing or proposed databases or data repositories.
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big data jobs Title: devops engineer in Columbia, MD
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