Geospatial Data Scientist Security Clearance

Position: Geospatial Data Scientist with Security Clearance
What Impact You'll Have:
Our team integrates hundreds of data sources into a Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and dataset is widely-recognized as the leading platform for geospatial analysis, touching nearly every type of mission. Top government officials use analysis from this platform to make daily decisions that have global impact. The platform is constructed of 3rd party tools and custom applications, and new data sources are constantly being added.

The customer is excellent to work with, and there is a healthy mix of customer-driven requirements and team-driven ideas / innovation: engineers typically have freedom in choosing how to do things and which technologies to utilize. Customer leadership also helps drive innovation and has created a close, collaborative idea exchange between staffers and contractors. Our Team Lead has said "this is simply the best group of people I've worked with".

Despite this platform being widely used, there is a huge amount of brand new work adding new capabilities and data sources, as well as migrating more and more of the subsystems to AWS. There are recurring opportunities on this team for Analytic / Big Data Software Developers, Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers, Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers, Data Analysts, AWS Engineers, Dev Ops Engineers, Cloud Migration Experts, and Geospatial Systems Engineers.

Work on this program takes place in the McLean, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable by this customer).

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, Postgre

SQL, and AWS tools on a daily basis to establish automated ETL (Extract, Transform, Load) pipelines, implement geospatially focused analytics, and create data visualizations to be shared with a wide range of audiences. In addition to these core functions, the Data Scientist helps to ensure that the project's data architecture is scalable, maintains high data quality/integrity, and is streamlined to maximize performance.

What You'll Be Owning: GRVTY is seeking a Geospatial Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Mclean, VA What You Must Have:
* Active TS/SCI with Polygraph Clearance
* Minimum 3 years of experience with a Bachelor's degree or 1 year of experience with a Master's degree
* Python experience to automate data transformation and analysis of geospatial datasets
* Experience working with Postgre

SQL to extract data from RDBMS
* Experience with AWS tools Linux experience
* Experience with API Connections
* Comfortable working with all types of geospatial datasets in thick client applications (e.g. ArcGIS) What Would Be Nice to Have:
* Experience working with R, Tableau
* Experience working with NiFi