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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server and Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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At Credence, we offer an exciting opportunity to be part of cutting-edge innovation in the world of Software development/ Engineering engaging on software projects that integrate UI/UX design with AI/ML, Data Fusion, Analytics, and Cloud technologies, digital transformation, and cybersecurity.
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In business for more than 52 years, we excel in full-spectrum cyber, data collection & analytics, enterprise IT, and systems and software engineering solutions that support national and homeland security.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server 2016 and 2019 Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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Education and Certifications: Bachelor's degree in Geography or related physical or geospatial science such as Civil Engineering Technology, Construction Technology, Cartography, Information Technology, Computer Science, Urban Studies/ Planning, Architecture, Engineering, Interior Design, Drafting or Construction related field or a minimum of 10 years' experience in CAD Management.
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Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more infom1ed analytic decisions.
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Manage Google Analytics implementation, set up events in Google Tag Manager, document tracking requirements for engineering team and verify data layer is firing appropriately. Knowledge of business intelligence software (ie Power BI, Tableau, Kibana) and web analytics tools (ie Google Analytics, Google Tag Manager, Looker Studio, BigQuery.
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You will partner with the business and engineering teams to prioritize UX research activities throughout the software development lifecycle by working closely with our program owners to understand their needs and help the team find solutions that serve user needs and achieve business goals.
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The Data Engineering Manager will deliver the support for the management and operations of its U.S. Department of State (DOS), Bureau of Population, Refugees, and Migration (PRM) Refugee Processing Center (RPC) Operations.
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$128,900 - $195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Preferred Qualifications: Knowledge of Atlassian software such as JIRA, JIRA Service Desk, and Confluence Experience with data engineering tools such as Kubernetes/Rancher, Cloudera Experience with Configuration Management and IaC tools such as Salt or Ansible Experience with scripting languages, CI/CD tools, Elasticsearch, or Gitlab Experience working in an air-gapped environments Experience working in large computing environments (> 1,000 end-points.
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With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
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software engineering data jobs in Falls Church, VA
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