Data Engineer

Build systems that collect, manage, and convert raw data into usable information for multiple purposes to include but not limited to, IT application usage, reporting, applicant processing, etc.

Duties:
- Develop and design data pipelines to support an end-to-end solution.
- Develop and maintain artifacts i.e., schemas, data dictionaries, and transforms related to ETL processes.
- Integrate data pipelines with AWS cloud services to extract meaningful insights.
- Manage production data within multiple datasets ensuring fault tolerance and redundancy.
- Design and develop robust and functional dataflows to support raw data and expected data.
- Collaborate with the rest of data engineering team to design and launch new features. Includes coordination and documentation of dataflows, capabilities, etc.

Qualifications:
- Amazon Web Services (AWS)
- Database Administration
- Data Engineering
- ETL Architecture and Development
- End-to-End Processes
- API Development
- Extract, Transform, and Load (ETL)
- Data Pipeline

Preferred Qualifications:
- Database administration and development experience will be a plus for consideration.
- Experience with cloud message APIs and usage of push notifications.
- Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.

Skills:
- Active TS/SCI Clearance
- Agile Software Development
- Amazon Web Services (AWS)
- Data Engineering
- Data Pipelines
- Database Management and Administration
- Databases
- End-to-End Processes
- Raw Data
- Technical Support