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These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks.
$134,888 - $195,624 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master s degree or equivalent graduate degree including certificate-based advanced training courses.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements.
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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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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Required: Must be a US citizen Must hold an active US government security clearance at the Secret level or higher Must hold a BS degree in either ASL, Communication, Psycholinguistics, Linguistics, Cognitive Science, Computer Science, or a related field.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Masters degree in a highly quantitative and computational discipline (data science, statistics, computer science, mathematics, engineering, etc.) Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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At minimum, BA or BS in International Affairs, Political Science, Economics, or similar social science. Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare.
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You MUST meet the following requirements: EDUCATION: A. Degree: meteorology, atmospheric science, or other natural science major that included: 1. At least nine semester hours of course work appropriate for a physical science major in any combination of three or more of the following: Physical hydrology, statistics, chemistry, physical oceanography, physical climatology, radiative transfer, aeronomy, advanced thermodynamics, advanced electricity and magnetism, light and optics, and computer science.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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Master’s Degree in engineering, economics, data science, statistics, applied mathematics, business, public policy, or urban planning. Advanced degree in engineering, economics, data science, statistics, applied mathematics, business, public policy, or urban planning desirable.
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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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Required Qualifications: 9 Years with Bachelor’s degree in Computer Science, Information Technology, or related field; 7 Years with Masters; 4 Years with PhD. Additional 4 years of experience can substitute degree.
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MarketBridge is looking for a Data Science Engineer to support our Marketing Effectiveness solution. We solve the toughest B2C and B2B marketing and sales challenges using quantitative, reproducible methods - an approach we call Go-to-Market® Science.
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