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Deliver on projects in the areas of critical data, data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
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Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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As the Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms. 3 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
$162,819 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with data team to migrate existing transformations, data warehouse, and reporting from legacy tools to BigQuery, and Looker. As a Business Intelligence Developer, you will be working in a GCP environment bringing strong BigQuery and large data experience.
$130,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The role requires hands on experience with AWS/Python for developing integrations/API's between ERP (Workday or Peoplesoft), Forecasting solution (Anaplan, Oracle, Workday Host analytics), Data lakes and Master data management (EDMCS.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Cyber Investigator [ insider threat, data loss prevention, digital forensics ] – Senior AnalystThe Cyber Investigator provides expert-level contributions to AIG’s Information Security Office by protecting the company’s critical assets from internal threats and reducing overall risk.
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The Data Engineer will be responsible for guiding the design, development, of our Data with a specific focus on Azure Data Factory, ADLS pipelines, AWS Glue, AWS pipelines to support Pega Marketing systems capabilities and on integrating data from Teradata, other external source, and applications into high performing operational Hubs, Data Lake and Microsoft SQL Server.
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Proficiency in common geospatial software applications and data analysis scripting and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, MATLAB, R, Git, or Tableau.
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Ensure compliance with financial data security standards, including PCI DSS, and other relevant financial regulations. Strong knowledge of financial data security, including PCI DSS compliance.
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data job Company: Red Hat in Vienna, VA
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