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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deliver insights to help our clients turn data into action as a Data Warehouse Manager at GDIT. Your work will provide transformative solutions to our state health agency clients’ big-data obstacles and help advance the mission of Medicaid.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. This role involves developing and engineering data-related services and applications for cloud platforms, with a specific focus on AWS. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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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.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j Geo-related mapping experience Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery.
$55,250 - $99,875 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Prior experience in Cybersecurity Operational Risk Management, supporting CISO in deployment and sustainment of cybersecurity capabilities, and previous big four experience preferred. Develop effective and measurable metrics (KRI, KPI and KCI) to analyze data and proactively identify trends or new/emerging risks.
$150Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Leidos Health Mission Solutions is seeking a Senior Network Architect specializing in Cisco data center design for a large network services opportunity supporting the National Institute of Health (NIH) in the Bethesda, MD area, contingent upon contract award.
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As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.
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big data jobs Company: Teksystems in Vienna, VA
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