Data Engineer

Title:

Data Engineer

KBR is seeking a Data Engineer to support one of our government customers in Reston, Virginia. The Data Engineer utilizes a diverse range of data-focused skills, experience, deep technical and analytical problem solving, and team-centered solutioning for complex problems to satisfy priority information enabling operations. This position requires strong attributes for problem solving, data analysis, troubleshooting, analytical thinking, and experimentation, often under time sensitive decisions.

Required Qualifications:

• Develop and implement methods of automation and optimization of data and products to present to upper management
• Demonstrate understanding of statistical analysis such as regression, anomaly detection and clustering
• Demonstrate effective communication skills to relay data science activities, technical findings, and data products for both technical and non-technical customers
• Ability to combine a diverse set of data sources containing multiple forms of information including, but not limited to, Open Source, Publicly Available Information (PAI), Commercially Available Information (CAI), and intelligence records to provide technical information to produce data packages
• Ability to elicit and define system requirements, track progress against defined milestones to ensure completion, and evaluate test results to validate system performance and acceptance criteria.
• Demonstrated ability to design, develop, and maintain software solutions, including writing production-quality code, managing version-controlled repositories, and writing technical documentation.
• Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics
• 5+ years of progressive, relevant work experience.

Preferred Qualifications:

• Hands-on experience leveraging modern data analysis and engineering tools (e.g. Python, Excel, AWS) to process, analyze, and visualize data, enabling efficient insight generation and decision support.
• Knowledge of National Intelligence Agencies and Department of Defense elements
• Familiarity with the space domain, including orbital mechanics, satellite systems, space-based sensors and associated operational concepts.
• Familiarity with Agile processes.
• Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques)
• Experience in analytical tool development, identification, and integration
• Master's degree in an engineering or science related field

Basic Compensation:

$100,000 to $124,400

The offered rate will be based on the selected candidate's knowledge, skills, abilities, and/or experience and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance

Security Requirements: Active TS/SCI security clearance w/ Poly

Travel: CONUS and OCONUS travel may be required. (10%)

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.