Data Engineer

Description SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.

Important Notice:

SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and maintain a scalable infrastructure for company wide resource and project management. The ideal candidate is passionate about data, technology, and automation and has a strong technical background in data engineering, with a combination of technical and business skills and a demonstrated ability to think strategically and creatively. Responsibilities Designing, building, and maintaining a scalable data driven resource planning and management infrastructure used for collecting, storing, processing, and analyzing business and project execution data Collaborate with business stakeholders, project managers, and project control specialists to define requirements and features to meet operational objectives and to support analytics use cases Design, develop, and maintain robust, scalable data pipelines for ingesting, transforming, and loading structured and unstructured data from various sources into data storage systems Manage and optimize data storage solutions, including databases, operational data stores, and data warehouses, to ensure high performance, reliability, and security Identify and address performance bottlenecks in data pipelines and infrastructure through optimization, tuning, and capacity planning Document data pipelines, infrastructure configurations, and best practices for data engineering standards, ensuring knowledge sharing and team collaboration Other duties as assigned