Description SAIC is actively looking for a highly skilled and motivated Principal Data Engineer to become a part of our dynamic team. Within this collaborative environment, the selected candidate will not only contribute their expertise but will work closely with a diverse group of professionals, including developers, data scientists, cloud engineers, architects, and customers. The Principal Data Engineer will play a crucial role in the success of our data-driven initiatives by constructing robust data pipelines and preparing data for consumption by data scientists, analysts, and various other data systems. * This is a hybrid job located in the Northern Virginia area. Up to 75% annual travel is required.

Responsibilities: Works in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight. Translates mission needs into an end-to-end analytical approach to achieve results. Performs the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval. Determines the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence. Interprets the validity of results and communicates the meaning of those results. Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data. Follows a scientific approach to generate value from data, verifying results at each step.

Qualifications Must be a US Citizen with a TS/SCI with polygraph clearance A Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering or a related field with 9 years of experience. In lieu of a degree, four additional years of professional experience will be considered. Familiarity with AI, Cloud, Data or Software technologies and concepts is a large plus, but not mandatory. Knowledge of federal government, military experience, contracting processes, and regulations is advantageous.