Data Engineer Specialist

2 weeks ago


Quantico, Virginia, United States NSS Full time
Data Engineer Job Description

At NSS, we're looking for a highly skilled Data Engineer Specialist to join our team. The estimated salary for this position is $120,000 - $180,000 per year.

This role requires a strong background in computer science and experience with data management systems. As a Data Engineer Specialist, you will design, implement, and operate data management systems that meet the intelligence needs of our organization. You will work closely with data users to create optimal data architectures and systems, ensuring high performance and scalability.

The key responsibilities of this role include:
• Exploiting data and executing in-depth data discovery to present technical findings in graphical narrative products
• Developing recommendations to best manage and exploit data given current systems and constraints
• Employing data mining and exploitation techniques with advanced data processing, mathematics, and probability models
• Conducting data engineering, data warehousing, and compression techniques
• Performing statistical analysis, mining techniques, and building accurate prediction systems
• Designing and building web prototypes
• Leading continuous improvement efforts for data visualization
• Conducting scalable data research to support various collection management processes

In addition to your technical skills, you should have excellent communication and problem-solving abilities. If you are a motivated and detail-oriented individual who enjoys working with data, we encourage you to apply for this exciting opportunity.

Required Skills and Qualifications
• Clearance: TS-Required with SCI eligibility
• Minimum 12 years of experience related to computer science tasks and experience with at least a portion of the experience within the last 2 years
• Master's Degree in an area related to computer science or other similar technical area
• Bachelor's degree related to computer science or other similar technical area along with an additional 5 years of related experience
• Proven skills in data visualization and use of graphical applications
• Working familiarity with major data science languages, such as R and Python
• Experience merging disparate data sources through R, Python, or SQL
• Prior experience with large data multi-INT analytics, ML, and automated predictive analytics tools
• Ability to work independently and with minimal oversight
• Proven skills to produce timely, logical, and concise analytic reports

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