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As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Manager, Data Engineering.
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Able to work with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, Redshift, Azure SQL Data Warehouse, MongoDB, Cosmos, or similar. Familiarity with Data Visualization platforms (e.g. Tableau, Power BI, Looker.
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This is a primary data manager position responsible for the design, development and implementation of large, multi-site Data Coordinating Center projects as well as smaller, UPENN based clinical trials.
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As a core member of the Data Engineering department, you will be in a dynamic environment that works cross-functionally with all other departments, such as Engineering, Product, Customer Success, and Marketing.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Manager, Data Engineering. Manager, Data Engineering. 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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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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Experience of data dashboard or programmatic data visualization using Tableau, Qlik, Power BI, Python, D3. Strong hands-on experience in the Bash scripting and Python toolkit for data manipulation and machine learning (e.g., NumPy, Scikit-learn, TensorFlow, PyTorch.
$123,250 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Expertise in Python, R, SQL, statistics, data mining. 12+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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4+ year experience working on real-time data and streaming applications. At least 2 years of experience in big data technologies. Leading a small team of engineers, your team will architect scalable solutions, data pipelines, ensure seamless data consumption, and collaborate closely with cross-functional and enterprise teams to align our foundational capabilities with our organization's overarching goals and objectives.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Minimum of 5 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, IBM InfoSphere DataStage, or any ETL applications. This Data Engineer will work directly with the Division of Hematology, Department of Pediatrics and the Service Line Director for the UCSF Benioff Children's Cancer, Blood Disorders, and Cellular Therapies Service Line.
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The Data Steward will support the implementation and management of Meharry's enterprise data governance activities under the Clinical Data Stewardship department of the Enterprise Data and Analytics (EDA) division at Meharry Medical College (MMC.
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The Manager, Data Intelligence is responsible for guiding and supporting all facets of CRM analytics projects. Hands-on experience with data visualization and analytic dashboard development, experience with Tableau (preferred), Domo, Power BI, Shiny, or other platforms.
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Title: data manager Company: Henry M Jackson Foundation For The Advan
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