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B) Possess a Master of Arts or Master of Science in psychology, sociology, human services, education, social work, or the equivalent as evidenced by providing transcripts indicating applicable coursework, and one year of experience using positive behavior support services with individuals who experience intellectual or developmental disabilities, OR.
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Experience with Data Mapping (connecting data files to templates in Exstream). · Data mapping of requirements to technical specifications for the desired outcome for customer communication.
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Master's degree in psychology, social work, recreational therapy, music therapy, art therapy or a behavioral science field; OR. Master's degree in psychology, social work, recreational therapy, music therapy, art therapy or a behavioral science field; OR.
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Technical Proficiency: Expertise in web and data technologies such as Kafka, HDFS, Spark, EMR, Open Table Formats, Snowflake, Hive, HBase, Scylla, Django, and FastAPI.Cloud Expertise: Proficient in designing, deploying, and managing systems on AWS.Full Lifecycle Exposure: Experience with the complete software development lifecycle, from inception to production and monitoring.
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Understanding of architecture patterns, principles, and best practices for Microservices/API, Streaming/Eventing, Integration, High Availability, Cloud, Security, Devops and Data Experience in deploying and supporting web, containerized, and serverless infrastructures.
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Possession of a Master's degree in Psychology, Social Work, Recreational Therapy, Music Therapy, Art Therapy or a behavioral science field, or possession of a bachelor's degree in Nursing and licensed by the State of Oregon, or possession of a bachelor's degree in Occupational Therapy and licensed by the State of Oregon; OR second year graduate students waivered as QMHP's by the Oregon Health Authority.
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Experience with eventing and data streaming by leveraging services like Amazon Event Bridge or Kafka. Experience with other cloud platforms beyond AWS. Experience with big data technologies and data lakes.
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At least two (2) years of experience with Databricks- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Analyze LIS data to confirm customer volumes, test menus and validation of project implementation and cost savings results. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
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QualificationsBachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degree preferred. Extensive experience in Data Governance, Data Modeling, Data Security, Data Strategy, Data Integration, and Master Data Management (MDM.
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The selected candidate will assist in data gathering, write sections for CEQA/NEPA documents, assist with preparing permit applications, coordinate with consultants and project team members, and interface with clients and regulatory agencies.
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Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. The team also owns our Streaming Platform that is build using KafkaAs a staff engineer, you will lead your team in the design and creation of our Snapshot product used to deliver high quality data to partners.
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This job will deliver value to the Health Plan, and its beneficiaries enrolled in Risk Adjusted government programs such as Medicare Advantage (MA) and Affordable Care Act (ACA), using skills including but not limited to Hierarchical Condition Category (HCC) Coding, medical coding, clinical terminology and anatomy/physiology, Centers for Medicare and Medicaid Services (CMS) coding guidelines, and Risk Adjustment Data Validation (RADV) Audits.
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Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Project Management: Oversee the design, development, and maintenance of scalable and efficient data models using DBT and Snowflake.
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Certifications or experience with relevant cloud platforms or data analytics technologies, such as Databricks (Fundamentals, GenAI Fundamentals, AWS Platform Architect, Platform Admin) and AWS (Cloud Practitioner, AI Practitioner, Solutions Architect, DevOps Engineer, Developer)Understanding of cloud data warehousing, ETL, and business intelligence concepts.
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data science jobs Company: Health Ecareers in Keizer, OR
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