Data Layer Engineer

Prescient Edge • Doral, FL

2d • Onsite

About The Position

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. The role involves designing and managing a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments. The engineer will 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. Key responsibilities include implementing metadata management solutions (tagging, schema validation, indexing) for improved lineage tracking and governance alignment with IL4/IL5 controls, and managing data access enforcement mechanisms (RBAC, encryption) in compliance with NIST 800-53 Rev. 5, FedRAMP, and DoD cybersecurity mandates. The position requires submitting a Data Layer Integration & Optimization Report detailing Kubernetes performance benchmarks, data lifecycle strategies, and cloud resource optimization recommendations.

Requirements

• Knowledge and capability to design, implement, and optimize data transformation workflows for geospatial and non-geospatial datasets.
• Proficiency in ETL (Extract, Transform, Load) processes, data structuring, and schema management.
• Expertise in ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
• Strong understanding of databases (PostgreSQL/PostGIS, SQL Server, NoSQL).
• Strong understanding of cloud storage solutions (AWS S3, Azure Blob, Google Cloud Storage).
• Strong understanding of Kubernetes-hosted geospatial applications.
• Demonstrated experience in developing and managing data governance frameworks.
• Demonstrated experience in implementing metadata and data cataloging solutions.
• Demonstrated experience in 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.
• TS/SCI security clearance.

Nice To Haves

• Certified Data Management Professional (CDMP)
• DAMA Certified Data Governance Professional (DGSP)
• Microsoft Certified: Azure Data Engineer Associate

Responsibilities

• 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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level