Big Data Engineer Principal Job Listing at SAIC in Chantilly, VA (Job ID 2507774)

Description

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.