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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Collects, summarizes, trends, and delivers provider quality and risk adjustment performance data to identify and strategize/coach on opportunities for provider improvement and gap closure.
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Maintain detailed documentation of your work and changes to support data quality and data governance requirements. Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization.
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Educates providers and supports provider practice sites regarding the National Committee for Quality Assurance (NCQA) HEDIS measures and risk adjustment. Collaborates with Provider Relations and other provider facing teams to improve provider performance in areas of Quality, Risk Adjustment and Operations (claims and encounters.
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2+ years of data engineering experience developing large data pipelines. As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success - enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Extend functionality of current Data Capture platform offerings, including metadata parsing, extending the metastore API, and building new integrations with APIs both internal and external to the Data organization.
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Quality assurance reviewing, verifying, editing, scoring, transcribing, copywriting, and reporting on data and/or assets across a broad scope of media and content types. Ensure data quality is maintained at high standards and continually enhance processes based on both quantitative and qualitative feedback.
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Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) 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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Maintains Quality KPI and maintains good standing with HEDIS Abstraction accuracy rates as per corporate standards. Supports the development and implementation of quality improvement interventions and audits in relation to plan providers.
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The RN - Quality Improvement Specialist will be responsible for gathering and evaluating clinical data from the organization, analyzing data for patterns and trends in the delivery of healthcare; researching root causes for specific patient care trends; training and educating staff to promote good quality practices and ensuring compliance with all applicable laws and regulations.
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As a Senior QA Automation Engineer, you will perform Quality Assurance and Automation testing for data warehouse implementations, ensuring data accuracy, completeness, and adherence to quality standards.
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Project categories: besides product requests and enhancements, we work on projects in performance and cost optimization, security and legal compliance, reliability and quality initiatives, as well as architectural refreshes such as POC in restructuring our data to be more streaming/real time friendly, new REST API for relevant services, migration of apps to Spark, Parquet, and other new technologies that could make our processing faster, more scalable, maintainable and cost effective.
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Assists P6 Master Scheduler in hours/cost analysis and provides active project data quality controls analysis support to Senior Project Manager, Project Manager and Superintendent. Provide site observation reports, project quality assurance and addresses issues with P6 Master Scheduler, Project Cost Controller, Site Superintendent, and Project Managers.
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Partner with BST colleagues to develop efficient processes for execution of bioanalytical and biomarker activities with a solid understanding of Quality Assurance and geographical requirements to ensure vendor compliance and data integrity.
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data quality jobs Title: quality engineer Company: Boeing in AR, Kansas
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