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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
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Oversee a clinic-wide quality improvement program inclusive of all staff and providers, develops and maintains a written clinic quality improvement plan and ensures quarterly and annual reporting and evaluation of the plan’s effectiveness to key stakeholders (i.e. clinical staff, clinic and organizational leadership, and Board of Directors.
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Experience with large-scale analytics and data warehouse systems like Databricks, Amazon Redshift, Amazon EMR, and Hadoop. Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Experience with big data technologies such as Databricks, Spark, SparkR. The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact.
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2 years of relevant experience in value-based care / quality improvement roleAnalytical skills necessary to analyze and interpret routine data. Ensure accurate data collection, reporting, and submission to payers for quality programs.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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We are the trusted partner to over 500 sports organisations globally, capturing the highest quality data for many of the worlds largest leagues and federations such as the NFL, NBA, MLB, English Premier League, Serie A, FIBA and the NCAA.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Synapse, Redshift.
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Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees.
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To include shared after-hours, weekends, and holiday responsibilitiesWork with the Institutional Official, IACUC, Institutional Biosafety Committee, Research & Environmental Safety, and others to ensure the highest quality of care and compliance.
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big data quality flexible hours jobs in Atlanta, DE, Canada
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