Data Layer Engineer with TS/SCI Clearance

Prescient Edge

Miami (FL)

On-site

USD 120,000 - 180,000

Full time

27 hours ago
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Job summary

Prescient Edge seeks a Data Layer Engineer to design and manage a modular data layer for scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments.

You will develop ETL pipelines for real-time and batch processing, ensuring integration with ESRI and third-party analytics, while implementing metadata management and governance aligned with DoD/IC policies. TS/SCI clearance preferred; Doral, FL location.

Qualifications

  • Design, implement, and optimize data transformation workflows for geospatial and non-geospatial datasets.
  • Proficient in ETL processes, data structuring, and schema management with ESRI geospatial data.
  • Strong knowledge of PostGIS, SQL Server, NoSQL, and cloud storage (S3, Azure Blob, GCS).
  • Experience building data governance frameworks and metadata/cataloging for compliance with DoD/IC policies.
  • Familiarity with Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.

Responsibilities

  • Design and manage a modular data layer architecture for scalable ingestion, transformation, and serving of geospatial data.
  • Develop and optimize ETL pipelines for real-time and batch processing with ESRI integrations.
  • Implement metadata management, tagging, schema validation, and indexing for lineage and governance alignment.
  • Manage data access controls, RBAC, and encryption in line with NIST SP 800-53 Rev.5, FedRAMP, and DoD mandates.
  • Prepare and submit the Data Layer Integration & Optimization Report detailing Kubernetes benchmarks and data-lake strategies.

Skills

ETL pipelines
Geospatial data
Kubernetes
Data governance
RBAC & security controls

Education

Bachelor's degree in Data Management/Information Science/CS
5+ years in data governance

Tools

Databricks Unity Catalog
Collibra
Alation
AWS Glue
Azure Purview

Job description

Prescient Edge seeks a Data Layer Engineer to design and manage a modular data layer for scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments.

You will develop ETL pipelines for real-time and batch processing, ensuring integration with ESRI and third-party analytics, while implementing metadata management and governance aligned with DoD/IC policies. TS/SCI clearance preferred; Doral, FL location.

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