Description

Leidos 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 sources—including 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 datasets—often derived from social media, open-source intelligence (OSINT), cyber, SIGINT, or psychological operations platforms.

Basic Qualifications: Bachelor’s 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: Master’s 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 D3.js)

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 Original Posting: July 25, 2025For 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. Pay Range: Pay Range $104,650.00 - $189,175.00The Leidos pay range for this job level is a general guideline only and 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.