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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
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Experience in using various Azure data services, such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage. In-depth knowledge of Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.
$124,000 - $187,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Expertise with Google Cloud Platform, especially its data-centric tools like BigQuery, Cloud Functions, Cloud Storage, Dataflow, Dataprep, Looker, and DataStudio. Experience working with cloud data warehouses such as BigQuery (strongly preferred), Snowflake, or Redshift.
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4+ years experience with Distributed data/computing tools (Glue, Airflow, EMR, ECS Fargate, Kafka, Spark, Aurora, or MySQL) Utilize programming languages like Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
$7 - $11Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Extracting data from CBRN-related modeling programs through post processing utilities to provide analysts user-friendly data tables and graphics to depict complexities such as toxicity effects over time, degradation of agent strength, and contaminated area coverage as a function of time.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Must be proficient with multiple data engineering and integration tools such as Scala, Python, Spark, Snowflake, Redshift etc. 3+ years’ hands on experience with big data technologies (Spark, Snowflake, Redshift or similar technologies.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Responsibilities include advancing GAM1’s & NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
$82,500 - $123,700 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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As a Data Operations Specialist, you will work with a team of consultants, engineers, and analysts to identify the business requirements to migrate CFPB's data to the cloud while continuously improving data quality, security and integrity.
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Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility. Bachelors in mathematics, statistics, data science, or social science.
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At least 2 years of experience in Cyber Operations, Data Loss Prevention (DLP), Security Operations Center, or Insider Threat. You have superior knowledge of Data Loss Prevention (DLP), data analytics, incident management, or investigative programs and the ability to identify risks and advise on solutions and mitigations.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are hiring an Executive Director to lead a global team of ~80 professionals to deliver customer-facing data and analytics capabilities, advance existing infrastructure by adopting cloud-native solutions (e.g., Snowflake, Databricks, etc.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
Full-timeExpandApply NowActive JobUpdated 3 days ago
data job in Mclean, VA
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