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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Data science tools/languages R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. Data Engineering contributions include assessing, understanding, designing, and implementing ETL jobs, data pipelines, and workflows.
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Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 6 months of experience with either Python, R or SQL. Current PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Programming Languages: Python, R, or similar for AI and machine learning development. Proficiency in Python, R, and other programming languages for developing machine learning models.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Experience with designing Glue jobs using both Python Shell and PySpark Experience with SNS/SQL implementation techniques, event triggering (e.g., EventBridge) and Step Functions Understanding of logging in AWS Experience with database development and data migration (Postgres and Redshift) Experience in building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs Implementation of database/data lake granular access security, and access integration with Okta/Cognito M2.
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Required 3 Years · Experience with deployment and management of data science tools and modules such as JupyterHub. Required 3 Years · Experience with ETL, data processing, analytics using languages such as Python, Java or R. Required 3 Years · Databricks Certified Data Engineer Professional · Experience with Cloudera Data Platform.
$80 - $90 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment. Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
$234,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in data access tools, such as SAS, SQL, Python, and R. Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy. Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts) and analyzing claims and enrollment data.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Proficiency in data engineering concepts, tools, and technologies, with hands-on experience with Databricks or similar platforms.
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Preferred experience would include a background in Databricks DBT, Python, Airflow, Azure Data Factory, and/or KAFKA. Team members will work to deliver customer needs within our enterprise data warehouse, which may include data ingestion, flattening, alerting, testing, transformation, optimization, and/or data mart development.
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The Data Engineering Manager will deliver the support for the management and operations of its U.S. Department of State (DOS), Bureau of Population, Refugees, and Migration (PRM) Refugee Processing Center (RPC) Operations.
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python r data engineering jobs Title: automation technician in Washington, DC
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