Data Engineer (Mid)

KBR, Inc. • Chantilly, VA

2d • Onsite

About The Position

KBR is seeking a Data Engineer to support one of our government customers in Chantilly, Virginia. The Data Engineer utilizes a diverse range of data-focused skills, experience, deep technical and analytical problem-solving, and team-centered solutions 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.

Requirements

• Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics
• 5+ years of progressive, relevant work experience.
• 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.
• Create data packages in the form of databases (DBs), reports, and interactive visualizations
• 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
• Demonstrated ability to use technical and analytic skills to solve a complex problem.
• proficiency in statistics packages such as SPSS, SAS, S-PLUS, and R
• Programming skills sufficient to extract, transform, and clean multi-terabyte databases
• Significant current experience (i.e., within the last 2 years) in data science/engineering work

Nice To Haves

• Hands-on experience using commercially available data exploitation and visualization tools for analysis (e.g., MS Excel, Tableau, Power BI, Wireshark)
• Knowledge of National Intelligence Agencies and Department of Defense elements
• Advanced Statistical knowledge and analysis methods (e.g., Linear models, multivariate analysis)
• Experience in analytical tool development, identification, and integration
• master’s degree in a science-related field

Responsibilities

• Utilize statistical techniques to analyze and extract relevant information from large amounts of data
• Automate and optimize data extraction, cleaning, processing, and analysis functions.
• Develop, validate, and implement data models to solve problems/answer questions
• Develop and implement novel statistical approaches to address complex issues
• Perform data science/engineering with little guidance and independently write reports detailing methods, results, and impacts to assigned issues
• Support in acquiring systems, software, and data science-related capabilities.
• Experience performing data science/engineering work and writing reports based upon the resulting work/accomplishments

Benefits

• We create diverse, inclusive environments in which each person can feel safe, respected and valued, and where everyone has opportunities to grow and reach their full potential.
• We are uncompromising in our commitment to deliver innovative, high-quality, technology-led solutions for our customers and exceptional, sustainable value for all our stakeholders.
• We value honesty, trust, courage, fairness, prudence and tenacity.
• We believe doing what’s right for the planet, the communities where we work, and our people is good for business.
• We empower our people with a shared purpose, the right tools and the supportive culture they need to be proactive decision-makers, to be adaptive to change, and to succeed.
• We have a will to succeed, but we value the achievements of our team of teams over individual accomplishments.
• Our collective focus makes us a better, stronger, more effective company.
• We have also embedded environmental, social and governance (ESG) principles in every business operation and corporate function.
• Not only are we committed to operating safely, sustainably and equitably, but we are also committed to using our capabilities and expertise to help our customers accomplish their sustainability goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level