Prescient Edge is seeking a Sr. Data Engineerto support a federal government client.
Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
- A competitive salary with performance bonus opportunities.
- Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
- A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
- A positive work environment where employees are respected, supported, and engaged.
- Salary range: $160,000 - $180,000. Salary to be determined by the education, experience, knowledge, skills and the abilities of the applicant internal equity, and alignment with market data.
Description:
- Supportsdefenseanalyticalrequirementswithenhancedscientific/engineering research, capability limitation analysis, reverse engineering analysis/characterizations, facility, and vulnerability assessments.
- Analysis and production include, but is not limited to, complex foreign electronic systems, subsystems, facilities and/or equipment and can emphasize one or more area(s) pertaining to electric power, microelectronics, electronic hardware, circuits, sensors, guidance and control, signals, electromagnetic, electro-optical (EO)/infrared (IR) and/or similar areas associated with current and projected electronic systems and/or subsystems. This includes, but is not limited to, electrical engineering and sub-disciplines of computer, electronic, optical, and power engineering.
- Shall design, implement, and operate data management systems for intelligence needs.
- Shall design data storage, access, use, integration, and management for different data regimes and digital systems.
- Shall work with data users to determine, create, and populate optimal data architectures, structures, and systems.
- Shall plan, design, and optimize data throughput and query performance.
- Shall participate in the selection of backend database technologies (e.g. SQL, NoSQL, Graph Database, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness.