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HEDIS Quality Performance Reporting, Strategy & Production- Leads the management of the end-to-end HEDIS production process including data sourcing and strategy and manages the relationship and process with the Caritas HEDIS Oversight Auditor.
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Análisis, diseño y desarrollo de modelos de datos corporativos (Data Lake / Data warehouse) en tecnología GCP (Bigquery / Dataflow/ Kubernetes / Composer)Requisitos:● Experiencia como líder técnico.
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High familiarity with data platforms and applications like Databricks, Jupyter, Snowflake, Airflow, FiveTran, DBT. Proficiency in SQL and experience with data visualization tools like Tableau, Looker, or similar.
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Collaborates with the serving team, report team, and Data engineers to translate complex product requirements into working high-quality cloud-native data solutions. As the team grows, we are looking for a savvy Senior Software Engineer to join the team and help build the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data s business value.
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Perform root cause analysis on data quality errors and propose remediation efforts. Lead FCC data modelling and quantitative analysis projects including investigating and assessing customer, transaction, and compliance data to develop KPIs and models.
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As part of EDM, our Divisional Data Officer team is responsible for design, delivery and adoption of many of the enterprise Data Governance processes including Data Quality Management, Issue Management and Remediation, Data Lineage Management, Data Catalog Management, Business Glossary Management, etc.
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The Health Quality and Stars team centralizes quality improvement and governance processes targeting Humana's Medicare Advantage members, and also manages compliant data submissions to CMS in adherence with the Stars Rating Program.
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Create D drawing using design packages such as AutoCAD. Capture D point cloud data using CMM equipment such as Faro Quantum or Focus M. Perform post-processing of D point cloud data to be used for design engineering functions.
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Tetra Tech is looking for a Geoscientist to provide mid-level technical support and project management for environmental investigation and remediation projects and proposals, primarily in the areas related to geology, hydrogeology, geochemistry, remediation, field data collection, contaminant fate and transport, and data interpretation/presentation.
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And modern software development practices and designs, unit testing, integration test, and release processesExperience with various testing modalitiesExperience working within large, production-ready codebasesExperience with agile/scrum frameworkProficiency in Python for engineering and data-driven analysisThe base salary range for this position is $130,000-$195,000 per year.
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Master’s or PhD degree required, with preferred education/experience in Biology, Biomedical Informatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, AI/ML, or related fields.
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You'll ensure data quality and reliability, optimize data pipelines, and work closely with cross-functional teams to deliver insights. If you have a strong background in data engineering and hands-on experience with Azure services like Azure Data Lake, Azure Data Factory, Azure Databricks, SQL, PySpark, and Python, especially in a healthcare/pharma setting, we want to talk to you.
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In addition, this position assists with designing, implementing and managing the College's data and evidence based institutional effectiveness strategies including strategic planning, accreditation, and assessment.
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The successful candidate will work closely with engineers, material scientists, data scientists, operations personnel, and quality personnel to produce world-class energy storage materials.
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With minimal supervision, assist with collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, geotechnical data, and other matrices for project development, design, and construction.
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data quality jobs Title: engineer controls in Pittsburgh, PA
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