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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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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.
$53,354 - $72,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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Experience monitoring, maintaining, enhancing and managing all system (software/hardware/network/configuration and data management) operations and system administration, integration, and data transfer for modeling and simulation tools, architecture tools, and data repositories within the Naval Integrated Modeling Environment (IME.
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Hands-on knowledge and experience in testing some or all of the following Oracle EBS, Oracle Fusion, Oracle Warehouse Management System, Hyperion and FCCS, data warehouses, ETL processes, OIC and integration and logging tools.
InternExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We seek a talented computational scientist to combine multi-modal data (genetics, omics, imaging, EHR) to enable the development of new therapeutics. Expertise in analysis of high-dimensional molecular data, such as single cell, spatial omics, CyTOF, CRISPR-Seq data and their applications.
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Job Title: Data Engineer. As a Data Engineer at. Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The successful candidate will function as a Product Owner and/or Release Train Engineer providing guidance and leadership of Scrum teams developing software components for intelligence data processing and analysis systems.
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Experience with Java microservices, Graphical User Interface (GUI) applications, threading, intermediate object-oriented programming, design patterns, Data Distribution Service (DDS) messaging, web technologies, Unified Modeling Language (UML), database essentials and SQL/NoSQL.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for an analytics data modeler/engineer who will provide analytics teams with clean and transformed data that supports business analytics and dashboard development. Develop and maintain data models and data processes using Snowflake, DBT, Looker and AWS technologies.
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CAI seeks Mechanical Commissioning Engineers, Minimum of two years' experience in Data Center Commissioning to support development and execution of all mechanical aspects of commissioning projects.
$72,800 - $85,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of Programs from Industry Leading OEMs Data Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS Security: Okta, Crowdstrike, Palo Alto, Proofpoint, Cyber Ark, Sailpoint, Fastly, Fire-Eye, Fortinet Data/Analytics: Splunk, Tableau, Power BI, Click Working knowledge of emerging technologies such as IoT & Digital Workplace.
$85,000 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health informatics, equity in informatics, and translational bioinformatics.
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Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) Experience across any other of the top cloud data platform vendors, including Google, Microsoft Azure, and Snowflake is a plus.
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big data jobs Title: machine learning engineer in San Diego, CA
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