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Bachelor's degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Background with Data Science tools such as R, Python, and SAS is a plus. Experience with Azure cloud computing, including big data technologies such as Azure Databricks cluster management.
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Cloudera Solr and HBase experience is a MUST. Experience with Ab Initio, EMR, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 is a Plus. DevOps (CI/CD Pipeline) is a Plus. Experience with Advance knowledge of UNIX and SQL Experience with manage metadata hub-MDH, Operational Console and troubleshoot environmental issues which affect these components.
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Basic QualificationsBachelor’s degree in data science, justice, social work, psychology, education, or other social science related subject. Strong interest and/or experience in related topics such as refugee, immigrant, and unaccompanied children; child welfare; capacity building; technical assistance; culturally responsive evaluation; participatory evaluation; implementation science and/or continuous quality improvement (CQI) Prior work experience in a consulting environment.
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Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields. Desired: Master’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Knowledge in HTML, CSS & JavaScript, Data Visualization tools and charts/graphs libraries a plus. Additional tools including Adobe Captivate, Adobe Premiere a plus. Proficiency in video editing tool Camtasia a plus.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
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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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Knowledge of geospatial data models and standards , including OGC Geopackage, WMS, WFS, and NSG, enabling seamless data integration across various platforms. Strong understanding of big data analytics , machine learning , and data manipulation techniques in geospatial contexts, providing insights into how emerging technologies can enhance GEOINT capabilities.
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2+ years of experience working with data analytics tools, such as Databricks, or Python data analysis libraries. Synthesize disparate sets of data from sources such as malware, cyber attack patterns, and closed and open-source intelligence to inform instrumentation and detections.
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The STC is comprised of multiple mission-focused programs with projects ranging from Unmanned Aerial Vehicle (UAV) SIGINT payload and data link development to OCONUS/CONUS mission/maintenance support.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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QUALIFICATIONS FOR A ROADWAY ENGINEER Bachelor of Science degree in civil engineering Professional engineer registration 5+ years of highway design experience Experience using MicroStation computer-aided design and drafting (CADD) software to develop plans, profiles, typical sections, cross sections, and quantity take-offs for construction phase estimates on highway design projects for the Virginia Department of Transportation (VDOT) or other Virginia localities would be a plus.
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Experience with COTS enterprise data visualization tools (e.g., Qlik, SAP Lumira) Experience with ADVANA, PYTHON, R languages, Visio, and Data Bricks. Ability to work iteratively with the business community to gather requirements and develop enterprise level visualizations using agile methods Experience developing data visualizations against ERP transactional and analytical data models Creates complex queries, and stored procedures to deliver dynamic data visualizations Requires Qlik Sense or Qlik View certification Eight (8) years + relevant experience Experience with complex custom-developed visualizations using D3, HTML, JavaScript, etc.
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data science plus jobs Company: Endeavor in Reston, VA
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