Job ID 2507774
Location CHANTILLY, VA, US
Date Posted 2025-07-23
Category Information Technology
Subcategory Big Data Engineer
Schedule Full-time
Shift Day Job
Travel Yes, 75 % of the Time
Minimum Clearance Required Top Secret
Clearance Level Must Be Able to Obtain TS/SCI
Potential for Remote Work Yes
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.
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