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Aspinity's novel and patented analog machine learning (ML) solution marks a paradigm shift in the way sensor data is analyzed for a multitude of end-user applications. You will be responsible to design, develop, and deploy production-quality application software to run on Aspinity’s analog processor in targeted customer applications.
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The mission of the Health Data team within Nuna is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and patient outcomes.
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Experience or understanding of Signaling Systems, Automatic Train Supervision, Traffic Management System, Centralized Traffic Control, or Supervisory Control and Data Acquisition (SCADA), Day-to-day, you'll work closely with teams across the business (including Engineering, Product Development, and Project Management), ensure the delivery of high-quality Traffic Management System projects, and much more.
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The company secures remote work on any unmanaged or BYOD computer with a radically simplified and less costly solution than virtual desktops or having to lock down every PC. Similar to an MDM solution but for laptops – work lives in a company controlled secure enclave installed on the user’s PC or Mac, where all data is encrypted and access is managed.
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Implements tools and frameworks for automating report generation, identification of data-quality issues and data governance. Maintains the quality of Metadata Repository by adding, modifying and deleting data.
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Your day to day activities will include creating data pipelines, ensuring data quality, and implementing ETL extract, transform, and load processes to migrate and deploy data across systems.
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Collaborate with the data engineering team to develop and maintain DBT (Data Build Tool) models, including adding new models, updating existing ones, and ensuring timely delivery of high-quality data pipelines.
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Assist with Design of Experiments (DOE), analyses, data collection and interpretation to support investigations and problem resolutions. Must be comfortable acting as technical liaison with other teams like design, quality, procurement, inspection, and production.
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This position provides engineering expertise to improve methods of manufacturing and monitor operations and to troubleshoot processing problems with an overall goal of improving quality of the product within safety, environmental, and cost guidelines.
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Collaborate with data engineers to architect big data systems that support AI/ML workloads, ensure data quality, and guide optimization for model requirements. Expertise in Spark, Hadoop Ecosystem, cloud-based big data technologies, and distributed computing principles.
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Work alongside data scientists and data engineers to enable rapid experimentation with a high bar for data quality. Experience collaborating with marketers and data scientists to design and run valid A/B tests and experiments.
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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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Designing and integrating marketplace leading vulnerability management, threat management, monitoring and data protection processes and platform tools. If you're seeking a career in vulnerability management, quality assurance, or GRC tools, then Application Security at Deloitte is the offering for you.
$69,600 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Setting up Data Quality exports in collaboration with Data Engineering. Monitoring Data Quality within BR. Data Quality Analysis within BR. SQL and Data Management.
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We are currently hiring a seasoned Java Microservices Engineer + BloomReach who comes with a strong consulting mindset. Java Microservices Engineer + BloomReach. imports and exports of CSV (this will migrate to BigQuery.
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data quality jobs Title: engineer in Pittsburgh, Amarillo, Texas
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