Data Engineer
Other Agencies and Independent Organizations - Washington, District of Columbia
Posted Oct 1, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified. not verified - source not recorded; timestamp not recorded
About this role
Data Engineer Washington, District of Columbia Summary 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. Duties 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. Education Bachelor's degree in one of the following fields or related studies: Computer Science Computer/Electrical Engineering or related field Data Science or related quantitative field Information Science/Technology Forensics (Digital Forensics, Forensic Science, and Technology) Mathematics/Statistics At least a 3.0 GPA on a 4-point scale Evaluation For more information,
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