Data Exploitation Engineer
| Hours | Full-time |
|---|---|
| Location | McLean, Virginia |
About this job
Job Description
We are seeking a Data Engineer / Data Exploitation Specialist to support the collection, analysis, processing, and management of data from a variety of sources, including mobile applications and other structured and unstructured data environments. This role is responsible for developing data ingestion and ETL solutions, performing data analysis and modeling, troubleshooting data issues, and supporting operational and analytical customers through the delivery of high-quality data products.
The ideal candidate has experience working with large and complex datasets, building data pipelines, supporting data management initiatives, and collaborating with technical and operational stakeholders to transform mission requirements into scalable data solutions.
- Collect, analyze, and exploit data from mobile applications and other data sources, including both domestic and foreign datasets
- Perform data analysis to identify data sources, targets, relationships, mappings, and data definitions
- Develop and maintain ETL processes and data ingestion tools to support data acquisition and transformation workflows
- Design, build, and maintain databases and software applications that support data management and processing activities
- Perform data modeling, validation, testing, and documentation to ensure data quality and usability
- Troubleshoot, triage, and resolve data integrity, ingestion, and processing issues
- Work with analysts, operational users, and stakeholders to gather requirements and develop data-driven solutions
- Support the assessment and testing of applications and systems related to data management and exploitation
- Produce technical documentation, operational procedures, task plans, and activity reports
- Handle, transfer, and manage sensitive data in accordance with established security and compliance requirements
- Analyze and process images using tools such as Adobe Photoshop or similar image manipulation platforms when required
- Support both independent projects and collaborative team-based initiatives
- Develop and maintain data mappings and transformation logic across multiple data formats and sources
- Experience with collection and exploitation of data from mobile applications and other technical data sources
- Experience performing data analysis and identifying data relationships, sources, targets, and mappings
- Experience working with structured, semi-structured, and unstructured data formats
- Experience developing ETL pipelines, data ingestion tools, and data transformation processes
- Experience building and maintaining databases and data management applications
- Experience performing data modeling, data testing, and data documentation
- Experience troubleshooting and resolving complex data-related issues
- Experience producing technical and operational documentation
- Experience working with sensitive or protected data
- Experience gathering requirements from analysts, operational users, and stakeholders
- Experience working both independently and within collaborative team environments
- Experience with image analysis, image processing, and image manipulation tools such as Adobe Photoshop
- Experience supporting operational or intelligence-driven data exploitation efforts
- Experience with large-scale data integration and enterprise data management environments
- Experience supporting software development or data engineering projects within secure environments
- Strong written and verbal communication skills
- Experience preparing reports, task plans, and project documentation for technical and non-technical audiences
- #CJ
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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