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You will be updated with latest job alerts via emailLeidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Data Engineer to support APOLLO/OPIAS in Tampa FL. This role provides mission-critical support to Joint and Special Operations Forces (SOF) by designing building and maintaining scalable data infrastructure and pipelines that enable the planning execution and assessment of influence operations within the Irregular Warfare (IW) and Operations in the Information Environment (OIE). With expertise in cloud platforms ETL frameworks and both structured and semi-structured data the data engineer ensures seamless ingestion transformation and normalization of diverse data sourcesincluding social media OSINT SIGINT cyber and psychological operations platforms. The position will be responsible for providing OIE planners analysts and commanders with timely mission-relevant data access for real-time alerting influence mapping and trend analysis. This position is on a future contract pending award announcement.
Possible locations for this position are as follows:
MacDill (Tampa FL)
Al Udeid (Qatar)
Fort Meade (Maryland)
Northcom (Colorado Springs CO)
Camp Humphreys (Korea)
Arifjan (Kuwait)
Joint Base Pearl Harbor-Hickam (Hawaii)
Fort Eisenhower (Georgia)
Offutt AFB (Omaha NE)
Naval Operating Base Norfolk (Virginia)
Southcom (Doral FL)
JB San Antonio (Texas)
Stuttgart (Germany)
Vicenza (Italy)
Tyndall AFB (Florida)
Key Responsibilities:
Conduct analysis of structured and semi-structured data sets to identify the effective integration for mission use.
Design build and maintain the data infrastructure and pipelines that support the planning execution and assessment of influence operations.
Review existing and emerging technical capabilities and offer recommendations on its potential value to enables OIE planners analysts and commanders to access analyze and operationalize large-scale datasetsoften derived from social media open-source intelligence (OSINT) cyber SIGINT or psychological operations platforms.
Basic Qualifications:
Bachelors degree in Computer Science Data Science Engineering or a related technical field
8 years of experience in data engineering or ETL pipeline development
Experience with data ingestion transformation and normalization from diverse structured and unstructured sources
Experience deploying in cloud environments (AWS Azure or GCP)
Proficient in Python and at least one ETL framework (e.g. Airflow NiFi Luigi)
Strong knowledge of SQL and relational databases (e.g. PostgreSQL MySQL)
Familiarity with version control tools (e.g. Git) and collaborative DevOps practices
Ability to work in cross-functional teams alongside analysts developers and IO planners
Strong documentation communication and troubleshooting skills
Active TS/SCI security clearance
Preferred Qualifications:
Masters degree in a technical discipline
Experience supporting Information Operations PSYOP/MISO or WebOps
Experience with data lake architecture graph databases (e.g. Neo4j) or NoSQL stores (e.g. MongoDB)
Experience building pipelines that support real-time alerting trend analysis and influence mapping
Proficiency with data visualization frameworks (e.g. Kibana Grafana Plotly or )
Familiarity with OSINT data platforms (e.g. Babel Street Echosec Talkwalker Pulsar Meltwater Maltego)
Familiarity with containerized environments (Docker Kubernetes)
Understanding of foreign language datasets or multilingual processing (NLP/NLU in Arabic Russian Chinese etc.)
Background in API integration with social media platforms or dark web forums
EIO2024
For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.
Full-Time