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2+ years of relevant work experience in data science or data engineering in big data environments. 2+ years of experience using data visualization software, such as, Tableau Desktop or Power BI.
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We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission-solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative "big idea" problem-solving.
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Overview Intelligent Waves has grown by more than 70% in the past two years and has an outstanding new opportunity for a Senior Site Reliability Engineer professional on our team in Reston, VA. Since 2006, Intelligent Waves has delivered mission-focused multi-domain operational expertise and innovation to the Government through high-impact technology solutions in cybersecurity, data science, enterprise network engineering, software development, and platform mission support.
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Your expertise in software engineering and knowledge of data engineering will position you to influence peer technical partners and business stakeholders. We are seeking a Director of Software Engineering who is passionate about growing and sustaining an innovative technology organization while fostering a culture of engineering and operational excellence.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. AI/ML Innovators – A research scientist or software developer who is skilled in technology research, development, deployment, and maintenance of cutting-edge capabilities, including Face Analytics and Machine Translation.
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SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets.
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Business Computers Management Consulting Group, LLC (BCMC) is a small business specializing in Information Technology (IT), Cybersecurity, Information Assurance (IA), SOA, Big Data Management, Program Management, and more for Federal, State, and Local agencies.
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Familiarity with big data, distributed systems, and/or cloud platforms (Hadoop, AWS, Spark, Kafka, etc.) Having experts in a wide variety of domains (e.g., big data infrastructure, deep learning, software architecture, aviation data, etc.
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Experience working with AWS Aurora RDS or AWS PostGreSQL RDS. BS Computer Science, Computer Engineering, Computer Information Systems, OR Computer Systems Engineering. Experience with cloud-oriented development using Amazon Web Services (AWS) and/or Microsoft Azure.
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Amazon Web Services (AWS) Security is looking for a passionate, innovative, and motivated Data Engineering Manager for the AWS Vulnerability Management team. 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience.
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S DegreeAt least 6 years of professional software engineering experience (Internship experience does not apply)At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:Master.
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