Central Intelligence Agency
Data Engineer
Central Intelligence Agency, Washington, District of Columbia, us, 20022
Data Engineers work with data consumers to create and populate optimal data architectures, structures, and systems to meet CIA's business needs.
Minimum Qualifications
Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL. Knowledge of data integration, transformation, modeling, and storage. Strong critical thinking and problem-solving skills. Ability to work independently and to collaborate within a diverse team environment. Curiosity, creativity, and initiative. Ability to meet the
minimum requirements for joining CIA , including U.S. citizenship and a background investigation. Desired Qualifications
Prior experience related to data engineering, data science, data architecture, database and search technologies. Experience analyzing or processing bulk datasets. Experience with signal/image processing, geospatial modeling or voice/data communications. Prior application of serverless design patterns, such as serverless applications or websites. Understanding of scaling and performance of distributed/cloud systems. Understanding of data science concepts, AI/ML, automation, and scripting.
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Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL. Knowledge of data integration, transformation, modeling, and storage. Strong critical thinking and problem-solving skills. Ability to work independently and to collaborate within a diverse team environment. Curiosity, creativity, and initiative. Ability to meet the
minimum requirements for joining CIA , including U.S. citizenship and a background investigation. Desired Qualifications
Prior experience related to data engineering, data science, data architecture, database and search technologies. Experience analyzing or processing bulk datasets. Experience with signal/image processing, geospatial modeling or voice/data communications. Prior application of serverless design patterns, such as serverless applications or websites. Understanding of scaling and performance of distributed/cloud systems. Understanding of data science concepts, AI/ML, automation, and scripting.
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