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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means more structured and unstructured data is available today than ever before.
$96,600 - $220,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrated experience with programming in the following technologies and tools: Java, Python, JavaScript, Anaconda, Angular, Groovy, Apache NiFi, Solr, Elasticsearch, Kibana, Node, SpringBoot, PostgreSQL, Neo4J, Terraform, Docker, and Apache Tomcat.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. 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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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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You will gather requirements, design, and write components of our backend cloud computing stack, leveraging Python, Postgres (SQL), Go, and Docker on AWS infrastructure (S3, EC2, Batch, Lambda, RDS.
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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
$104,200 - $182,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Experience as a Software Engineer, System Administrator, or DevOps Engineer.
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Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.
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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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Stay current with emerging trends and technologies in big data and cloud computing, particularly related to Databricks and Apache Spark. Experience with machine learning and data science workflows on Databricks.
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Create signal processing and machine learning models that process and understand signal data faster, more accurately, and more efficiently. Research and develop advanced machine learning algorithms and techniques in application areas including radar, electronic warfare, sonar, SIGINT, RF geo-location, and image processing.
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Flight Physics Engineer As a startup company, Electra is at an early stage, so this position requires a versatile person who is not afraid to work hard and move fast. Integrate empirical methods, hand calculations, vortex lattice codes, CFD, wind tunnel, and flight test data to analyze aerodynamic performance and stability & control Own the development of the vehicle cockpit simulator software and hardware.
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