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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Significant agile project management experience, as well as strong fundamentals in advanced analytics, data integration, and visualization leading agile projects.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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The VA2 Facilities and Data Center Technician IV must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the facilities and data center electrical, mechanical, fire life safety systems, and communications infrastructure.
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Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake. CGI Federal is hiring a Data Engineer SME (Data Collection Engines) to work with a skilled and motivated team of professionals on a high-visibility Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) cyber security program.
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Design and develop utilities to transform, enhance, and clean-up data in preparation for loading to target data-lake such a Redshift, Iceberg or Elasticsearch. Develop scripts using Python, Java or Scala to extract data from published vendor APIs to be consumed from upstream processes.
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Preferably with Hadoop stack: HDFS, Hive, SQL, Spark, Spark Streaming, SparkSQL, HBase, Kafka, Sqoop, Atlas, Flink, Kafka, Cloudera Manager, Airflow,Impala, Hive, HBase, Tez, Hue, and a variety of source data connectors.
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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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Our data engineering team leverages open-source scripting and data visualization tools to wrangle, clean, analyze and display data in decision support tools for senior leaders within the Department of Defense.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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What You’ll Get to Do:As a CACI-SOAS C-UAS Signals Data Analyst, you will conduct data analysis of specialized C-UAS threat systems’ data to assist with Department of Defense (DoD) Force Protection (FP) efforts to understand, minimize and mitigate the threat posed by Unmanned Aerial Systems (UAS) against critical infrastructure, locations, assets and personnel.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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4 years of experience working on data science or image science problems that require subject matter expertise in remote sensing, government collection platforms and image datasets, multispectral imagery (MSI) and synthetic aperture radar (SAR) imagery.
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ASHRAE Commissioning certification, desired and/or in-depth understanding of ASHRAE Commissioning process as it relates to Commissioning activities associated with MEP Systems, including data center defined commissioning Levels 1 through 5.
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This position will work alongside advanced security researchers, data engineers, and malware reverse engineers, and data scientists to tackle evolving threats accelerated by technologies like our Hadoop ecosystem (HBase, HDFS, Spark, Kafka, AirFlow), Elasticsearch and Redis clusters, Docker using Docker Swarm, malware environment, and a network of honeypots.
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Responsible for all facets of Data Center Operations including design, implementation, monitoring, and communications. The Systems Engineering Team is responsible for the server, SAN, and database infrastructure, which supports customer applications in a 24x7x365 data center environment.
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data job in Chantilly, VA
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