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Data Services Engineer

Company:
Engility Corporation
Location:
Reston, VA
Posted:
May 14, 2025
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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.

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