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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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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 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.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of enterprise data warehouse development with SQL, Python, Azure Data Factory (ADF), Azure Databricks, Kafka, and ideally Snowflake experience. Looking for a Data Engineer with SQL, Python, ADF, Databricks, Kafka and ideally Snowflake experience to work 100% remote.
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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.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in visualizing data, including experience with Excel, Tableau, R Shiny or similar to identify, summarize and explain observed data patterns. Technical ability with statistical software packages including coding, debugging, modeling and economic analysis with relevant programming languages (Python, R, SAS, SQL, etc.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
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Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python, SAS, or R. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Utilize programming languages like Scala, Python and Open-Source RDBMS and NoSQL databases and Cloud based data warehousing services such as ADLS/Cosmos etc. Data Engineering experience focused on batch and real-time data pipelines development, Data processing/data transformation using ETL tools such as databricks.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Analytics Expertise: Serve as a subject matter expert across our solutions offerings such as database marketing, marketing campaign reporting, investigative descriptive analytics, and propensity modeling while leading and individually contributing to analysis tasks including Excel, R, SQL, Python, and SAS.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DUTIES AND RESPONSIBILITIES Develop, implement, and support scalable data integration (ETL/ELT) processes, covering storage, ingestion, cleansing, curation, unification, presentation, using new or current technologies (Azure SQL Server, Data Factory, Salesforce, Qualtrics, Drupal, Python, Power BI, Power Apps) Develop and enhance data architecture to directly improve operational efficiency for the business, continuing to build out an enterprise-level data ecosystem.
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Will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Strong programming skills in Python, R, SQL, and React. Utilize programming languages such as Python, R, and SQL to develop and deploy NLP and AI models. As a Data Analytics Engineer, you will be responsible for designing, developing, and implementing natural language processing (NLP) and AI-based solutions to enhance our products and services.
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python r data jobs Title: data Company: Inc in Mclean, VA
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