Data Engineer

DDI Data Engineers solve critical data challenges by building optimal data pipelines, analyzing and transforming data, and delivering data to systems to advance CIA's intelligence mission.

Minimum Qualifications Interested candidates should be passionate about the ideals of our American republic, committed to upholding the rule of law and the U.S. Constitution, and committed to improving the efficiency of the Federal government. Hiring decisions will not be based on race, sex, color, religion, or national origin. Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL Knowledge of data ingestion, transformation, modeling, and storage: Strong critical thinking and problem-solving skills Ability to work independently and in groups within a 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

As a DDI Data Engineer at CIA, you will transform and deliver high-priority datasets to enable exploitation and analysis for CIA's intelligence mission. Using computer programming and other capabilities, DDI Data Engineers develop processes to transform raw structured or unstructured data into useful, actionable information for critical mission systems. They design and build scalable data pipelines using commercial cloud, open source, and custom software solutions to process large datasets. DDI Data Engineers create automated data validation methods to load data into systems accurately and consistently. Through partnerships with collectors, data scientists, and software engineers, DDI Data Engineers design how data will be integrated and stored for optimal effectiveness. DDI Data Engineers are curious and use their skills to identify problems and build solutions, applying updated expertise in areas such as ETL, workflow and container orchestration, database and search technologies, distributed computing, serverless design, and cloud solutions. DDI encourages and supports continual learning. Opportunities exist for continued professional development, to include advanced technical training. Travel opportunities may be available.