The Data Engineer is responsible for the design and development of statistical models with Big Data, IoT, ERP, Supply Chain, etc. The candidate will execute and teach application of statistical and data mining techniques, develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner, and evaluate emerging datasets and technologies and help define the data analytic platform.
The candidate will work with project managers, consultants, programmers, data scientists, analysts, and customers to determine data requirements and see those requirements through to completion. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, Cloud Computing, Machine Learning and Data Visualization. The candidate must have working knowledge of specialized languages relevant to the technologies employed such as Apache Hadoop, Python and knowledge Machine Learning.
Bachelor’s Degree in Computer Science, Information Systems or other related scientific or technical discipline. Masters degree in a relevant field may be substituted for 3 years of general experience.
7+ years experience in Data Engineering, at least 3 yrs in Data Analytics, preferably DoD or Intelligence community
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.