What are the responsibilities and job description for the Data Layer Engineer position at Prescient Edge?
Description
Prescient Edge is seeking a Data Layer Engineer to support a Federal Government client.
Please note that the availability of this position is contingent upon contract award.
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:
Experience:
Prescient Edge is seeking a Data Layer Engineer to support a Federal Government client.
Please note that the availability of this position is contingent upon contract award.
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.
- Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments.
- Develop and optimize ETL pipelines for real-time and batch processing of mission-relevant data, ensuring integration with both ESRI and third-party analytic services.
- Implement metadata management solutions—such as tagging, schema validation, and indexing—to improve lineage tracking and facilitate governance alignment with IL4/IL5 controls.
- Manage data access enforcement mechanisms, including RBAC policies and encryption controls, consistent with NIST 800-53 Rev. 5, FedRAMP, and DoD cybersecurity mandates.
- Shall submit the Data Layer Integration & Optimization Report, detailing Kubernetes performance benchmarks related to data lake interaction, data lifecycle strategies for containerized environments, and cloud resource optimization recommendations.
Experience:
- Knowledge and capability to design, implement, and optimize data transformation workflows for geospatial and non-geospatial datasets. Personnel must be proficient in ETL (Extract, Transform, Load) processes, data structuring, and schema management, with expertise in ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
- Strong understanding of databases (PostgreSQL/PostGIS, SQL Server, NoSQL), cloud storage solutions (AWS S3, Azure Blob, Google Cloud Storage), and Kubernetes-hosted geospatial applications is required.
- Demonstrated experience in developing and managing data governance frameworks, implementing metadata and data cataloging solutions, and ensuring compliance with DoD and IC data security policies.
- Experience with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview is required.
- Bachelor’s degree in Data Management, Information Science, Computer Science, or a related field, or five (5) years of equivalent experience in data governance.
- Desirable but not required certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Governance Professional (DGSP), or Microsoft Certified: Azure Data Engineer Associate.
- TS/SCI.
- Doral, Florida. (USSOUTHCOM Headquarters)