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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data science & ML technologies, such as R, PyTorch, AWS SageMaker. Develop and maintain data integration infrastructure: Design, develop, and optimize ETL processes using AWS Glue, Athena, Snowflake, DBT and other data engineering tools.
$112,200 - $131,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
$135,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with container deployment platforms such as Kubernetes, Openshift, E Experience and domain knowledge related to data processing Experience with big data applications. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles.
$101,400 - $183,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
$115,000 - $125,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Through this research experience, the fellow will have the opportunity to explore earth science community standards for the intake and publication of gridded data sets; contribute to the conversion of data holdings to cloud-optimized formats; and develop documentation of best practices for the handling of big datasets.
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Oversee the migration of data from legacy systems to new solutions that utilize a modern data-centric architecture that aligns with US Federal, DoD, Army, and USACE IT strategies and policies.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Relevant certifications in AWS, Azure, and other modern data technologies are highly desirable. You will work with tools like Snowflake, Spark, Kafka, Airflow and cloud data platforms to create robust data architectures and enable scalable and efficient data collection, storage, processing and analysis.
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Develop, test, and maintain high-quality front-end code using HTML, CSS, JavaScript, and modern frameworks (e.g., React, Angular, Vue.js). Proficiency in HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular, Vue.js.
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Leverage a broad set of modern technologies – including Python, R, and Spark – to analyze and gain insights within large data sets. Manage, architect, and analyze big data in order to build data driven insights and high impact data models.
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning.
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Bachelor’s degree in computer science, Data Engineering, or a related field (or equivalent work experience). Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval.
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modern big data jobs Title: data science in Mclean, VA
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