Data Engineer - Senior

Senior Data Engineer – Intel Security Sector

Leidos is seeking a Senior Data Engineer to work on big data analytics and predictive analytics for defense and intelligence customers. The role supports a major program advancing the state of the art in mission‑focused big data analytics and predictive analytics.

Location(s):
Bethesda, MD;
Reston, VA; or Joint Base Anacostia‑Bolling, DC.

• Work closely with data scientists, software developers, network engineers, investigators, program managers, researchers, and data analysts to produce and clean large databases, provide data processing, ensure data quality, integrate large data with applications, prepare data visualizations, and produce dashboards using state‑of‑the‑art tools and AI/ML techniques.
• Apply software engineering and ETL principles to ensure data accuracy, quality, consistency, and scalability.
• Integrate COTS and customer‑developed tools within existing data frameworks to meet operational and analytical requirements.
• Collaborate with Data Ops teams to prepare, automate, and optimize data workflows for real‑time analytics.
• Analyze a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior, and more.
• Support multiple simultaneous projects and take open‑ended or high‑level guidance independently and collaboratively.
• Provide data preprocessing, quality checks, data integration, and visualization creation.
• Develop dashboards with tools like Tableau or Power BI and apply AI/ML modules to structured and unstructured data analysis.

• Active TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.

• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline.
• Minimum 8 years of experience in the field with at least a portion of the experience within the last 2 years.
• Active TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.
• US Citizenship is required.
• Proven experience in designing and implementing data pipelines and architectures.
• Experience with data quality monitoring tools and processes.
• Excellent communication and interpersonal skills.
• Experience developing and maintaining enterprise‑scale data pipelines in cloud environments (AWS, Azure, or GCP).
• Experience implementing ETL/ELT processes and data orchestration frameworks.
• Strong knowledge of ETL processes and data integration techniques.
• Experience working with structured and unstructured data sources, including APIs, streaming platforms, and relational/non‑relational databases.
• Experience designing data models to support AI, ML, and advanced analytics use cases.
• Experience contributing to data product design within a modern data platform architecture.
• Proficiency in one or more scripting languages such as R or Python.
• Experience working with a hybrid team of analysts, engineers, and developers to conduct research and build and deploy complex, yet easy‑to‑use algorithms and analytical platforms.
• Previous experience performing research and development in data analytics or big data.
• Track record of active learning and creative problem solving.
• Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost‑effective solutions.

• Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline. Alternatively, a Bachelor’s degree in the same fields plus 5 years of related senior experience (total of 17 years).
• Minimum 12 years of experience in the field with at least a portion of the experience within the last 2 years.
• A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission‑focused outcomes.
• Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (e.g., DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity…