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As ABSC’s Data Scientist , your job will be to perform cutting edge data analytics and support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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Provide QA/QC, plans and implements defect tracking and management for complex coding and data projects, and ensures project adherence to quality standards and data management principals.
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Work on an Agile development team to design, develop, test, implement, and support technical solutions using deep expertise in distributed microservices, big-data technologies (HIVE, Presto, Spark, Hadoop, etc.
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Specifically, this project will support ONDs Integrated Review for Drug Marketing Applications program by providing comprehensive safety data analyses for new drug applications (NDAs) and biologics license applications (BLAs) in collaboration with clinical reviewers.
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Driving the organization towards Cloud best practices and supporting technologies to enable such capabilities as DevSecOps, Big Data/Analytics, AI, Cloud scalability, and. The scope of responsibilities includes data center and cloud modernization strategy, managed services, process streamlining for data center operations, application team deployments, and cloud service provisioning.
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Experience on Data pipelines and workflow management tools ( Airflow) Cloud-based solutions (e.g. AWS Google Cloud). Develop Data Pipelines using Java/Scala and Apache Beam Dataflow to move data or transform data.
$110,400 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You will collaborate with cross-functional teams, including software developers, data engineers, data scientists, epidemiologists, and project managers to ensure the successful delivery of a scalable, secure, and efficient research platform.
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Human Resource Data Analyst II: The Human Resource (HR) Data Analyst will collect, compile, and analyze HR data, metrics, and statistics, and apply this data to make recommendations related to recruitment, retention, and legal compliance.
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Proficiency in quantitative and qualitative research methods, data analysis, and statistical software (e.g., SAS, SPSS, STATA, NVivo). Develop and test data collection tools, including surveys, interviews, and focus group guides, to gather relevant information from stakeholders.
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Axle is seeking a Data Engineering - Data Quality to join our vibrant team at the National Institutes of Health (NIH) supporting the located in Rockville, MD. We are looking for a skilled and motivated Data Quality expert to lead the development of Real World Data (RWD) assets to support projects at the NIH. The position will be based at Axle in Bethesda, Maryland, but functionally remote from US locations, with occasional travel annually.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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As an IT Operations Manager, you will play a valuable part in supporting the NCSC's mission to protect NOAA networks, computers, programs and data from cyber-attack damage and unauthorized access.
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Advancement Services at Montgomery College includes support for technology, data, and reporting, as well as prospect management and research. Develop and implement a comprehensive data management plan for the department to support data analysis of prospective donor management, gifts, fundraising reporting, and email marketing campaigns.
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big data jobs Title: data project manager in Rockville, MD
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