Title: Data Engineer
Location: Herndon, VA
*Clearance: *Active TS/SCI w/ Polygraph needed to apply *
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation’s toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don’t look any further than Cornerstone Defense.
Responsibilities include, but are not limited to:
Create robust and resilient data pipelines to connect data sources to analytics tools
Work with various analysts to craft requirements
Enumerate the necessary datasets and design the data model and schemas to support the requirements
Provide platform support, including problem solving and debugging, for production issues
Interact and collaborate across the services and communities involved in multi-domain Cyber Defense to achieve breakthrough improvements in capabilities
Required qualifications:
5+ years of experience with data engineering in an enterprise-scale environment
Experience working with various file formats such as JSON, XML or similar
Experience working with analytic platforms such as Splunk, Elasticsearch, Kibana or similar
Knowledge of AWS cloud services and tools, such as Lambdas, EC2s and S3
Knowledge of the data ETL pipeline, including data retrieval
Experience with programming, coding, or scripting
Active/Current TS/SCI with polygraph clearance
Preferred Qualifications:
Bachelor’s Degree in technical field of study such as Computer Science, Mathematics, Physics, or similar field
Experience writing code or scripts in Python
Experience with relational and non-relational databases
Experience briefing other stakeholders on your findings and recommendations
Knowledge of data extraction, transformation, normalization, enrichment, correlation, storage, and API development and integration
Ability to demonstrate effective research, analytical and problem-solving skills
Ability to demonstrate effective organizational skills and attention to detail