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The Data Architect will play a key role in designing, implementing, and maintaining robust data infrastructure to support our organization's data-driven initiatives. Develop scripts to manage and migrate infrastructure as code (IaC) using Python/Terraform or AWS CloudFormationImplement data governance policies and practices to ensure the accuracy, consistency, and security of organizational data.
$118,800 - $205,920Full-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.
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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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Develop and use integration architecture to guide the Collibra implementation team and the Collibra resident architect with the integration of prioritized content (including structured and unstructured data assets such as licensing agreements, codes, and models) and data sources to enable (and to the greatest extent possible, automate) the import, augmentation, and synchronization of use case implementation.
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Microsoft Azure certification(s) (e.g., Azure Data Engineer, Azure Solutions Architect) is a plus. The Senior Data Architect will play a crucial role in shaping our data architecture strategy, ensuring scalability, reliability, and performance of our data systems.
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Expert knowledge of SQL Familiarity with DevOps SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar. using AWS/GCP (i.e., Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
$150,000 - $190,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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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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Deep knowledge and experience with data warehouse platforms (such as Teradata, Snowflake, and Redshift). 7+ years of experience implementing modern data solutions using Cloud-based solutions and technologies - AWS developer environment including, but not limited to, Lambda, API Gateway, DynamoDB, S3, Cloudwatch.
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Devise accurate, timely, and sophisticated data analysis in support of the most complex key ODNI, United States national security and foreign policy objectives and to shape Intelligence Community analysis priorities.
$117,962 - $153,354 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Department Summary: MITRE's Data Science department (L172) is looking for qualified applicants to bring their geospatial, machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Conceive complex statistical, mathematical, geospatial modeling, and data mining analysis independently or in partnership with other Data Scientist or Analyst colleagues. Ability to translate complex, technical findings into an easily understood narrative (i.e. tell story with data.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis. 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.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Knowledge of various CMS environments or systems, such as One PI, Fraud Prevention System (FPS), Medicare Provider Enrollment, Chain, and Ownership System (PECOS), Integrated Data Repository (IDR), Chronic Conditions Warehouse (CCW), and CMS AWS Enclave.
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OverviewJob SummaryTuvli, an Akima company, is hiring for a Data Analyst IV to support our DoS client located in Washington, DC.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.
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data job Title: architect Company: Usaa in Mclean, VA
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