Job ID: 2508489
Location: BETHESDA, MD, US
Date Posted: 2025-08-08
Category: Information Technology
Subcategory: Database Engr
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance.
We are seeking a highly motivated Database Engineer to join our National Intelligence Program to support design, construction, installation, testing, and maintenance of highly scalable data management systems, optimized for O&M operations. This role requires a blend of expertise in software, hardware, and cloud engineering to ensure efficient data handling, storage, and analysis to drive improvements and informed decision-making within the O&M department.

Key Responsibilities:

• Create and maintain robust databases and data warehouses, ensuring high availability and performance.
• Develop and manage systems for ingesting data from various sources, such as IoT devices, logs, and operational systems.
• Implement and maintain data pipelines for batch and streaming data, using tools like Airflow or NiFi.
• Monitor, tune, and scale data storage and processing environments for optimal efficiency.
• Apply industry best practices and compliance policy of customer to safeguard sensitive O&M data and maintain compliance with relevant regulations.
• Provide expert-level troubleshooting support for data-related technical issues within O&M operations.
• Collaborate with O&M engineers, data analysts, and enterprise service providers to interpret data requirements and deliver appropriate solutions.
• Utilize data mining techniques for data analysis and produce insightful reports to aid in O&M decision-making and planning.
• Keep clear and comprehensive documentation and records of system configurations, data models, and process flows.
• Develop tools that improve and automate data handling and processing activities.
• Align all data management strategies with regulatory compliance and standard adherence of the enterprise.

Qualifications

• Possess an active TS/SCI clearance with Polygraph.
• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience, coupled with relevant professional certifications.
• Advanced SQL knowledge for database querying.
• Proficiency with big data tools (Hadoop, Spark) and familiarity with big data file formats (Parquet, Avro).
• Skilled in data pipeline and workflow management tools (Apache Airflow, NiFi).
• Strong background in programming (Python, Scala, Java) for data pipeline and algorithm development.
• Skilled in data visualization (Tableau, Power BI) and BI reporting.
• Experience with cloud platforms (AWS) and services.
• Understanding of DevOps, containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation).
• Knowledge of data governance, compliance, and security practices.
• Competence in version control (Git) and lean Agile practices using Jira.

• Create and maintain robust databases and data warehouses, ensuring high availability and performance.
• Develop and manage systems for ingesting data from various sources, such as IoT devices, logs, and operational systems.
• Implement and maintain data pipelines for batch and streaming data, using tools like Airflow or NiFi.
• Monitor, tune, and scale data storage and processing environments for optimal efficiency.
• Apply industry best practices and compliance policy of customer to safeguard sensitive O&M data and maintain compliance with relevant regulations.
• Provide expert-level troubleshooting support for data-related technical issues within O&M operations.
• Collaborate with O&M engineers, data analysts, and enterprise service providers to interpret data requirements and deliver appropriate solutions.
• Utilize data mining techniques for data analysis and produce insightful reports to aid in O&M decision-making and planning.
• Keep clear and comprehensive documentation and records of system configurations, data models, and process flows.
• Develop tools that improve and automate data handling and processing activities.
• Align all data management strategies with regulatory compliance and standard adherence of the enterprise