*Clearance: *Active TS/SCI w/ Polygraph needed to apply *
Cornerstone Defense, in partnership with our military, intelligence, and civil government customers, supports U.S. operations worldwide through the use of many different types of intelligence, satellite, and cyber technologies. Cornerstone’s Intelligence Sector provides solutions to the United States Government for information collection, operations, exploitation and dissemination, and research activities. Our Team specializes in software development, cloud architecture, systems and network engineering, systems integration, agile management, as well as targeting operations and intelligence analysis. Our support to our mission customers includes cyber network operations, exploitation and defense, signals intelligence, human intelligence, and critical missions and networks.
We are seeking a Big Data Engineer to work in the Chantilly, Virginia area. Area of responsibility will include:
Big data engineering and management
Data analytics, data modeling and data wrangling
Cloud automation engineering using AWS environment
The Big Data Engineer will engineer, analyze, integrate, test, debug, and monitor data processing workflows to ensure accurate and efficient Extract, Transform, Load (ETL) of data. This may require:
Writing /editing and testing scripts, parsers, and small programs to process, load or analyze data.
Perform the analysis of databases and datasets to ensure proper handling of the data
Perform end-to-end data quality assessments focused on analytical accuracy and data integrity
Coordinate and resolve data quality issues
Help gather metrics and contribute status as required by the customer and management.
Interface with customers electronically, on the phone and in person to ensure data requirements are met.
Perform data flow implementation using approved SOPs and patterns to ensure consistency and maintainability
Identify areas of improvement and present innovative solutions to increase efficiency and quality of data flows.
Bachelor’s degree (or higher) in an IT-related field and minimum 3 years of experience in Systems Engineering. Bachelor’s degree in a non-technical field and a minimum of 5 years of experience performing data engineering functions or a minimum of 15 years of experience performing data engineering functions will be considered in lieu of a technical degree.
Understanding of at least one programming language
Familiarity with AWS cloud environments
Proficiency with Linux (e.g. file/permission manipulation, directory navigation, executing scripts, etc.)
Agile Development experience
Ability to work with data modelers, data architects, software developers, DBAs to achieve project objectives
Active TS/SCI with polygraph clearance.
Familiarity with open source software packages used to perform data engineering in both Python and Java
Familiarity with open source ETL frameworks such as NiFi
Familiarity with unstructured and structured data analysis techniques
Familiarity with streaming and batch layer open techniques to perform big data processing