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# Data Layer Engineer

- **Company:** Base-2 Solutions, LLC
- **Location:** Doral, FL, United States
- **Experience:** Expert
- **Salary:** $10,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Amazon S3, ArcGIS (Software), Cloud Computing, Cloud Storage, Databases, Data Governance, Extract Transform Load (ETL), Data Transformation, GIS Applications, Information Sciences, PostgreSQL, Metadata, Meta-Data Management, Microsoft SQL Server, NoSQL, PostGIS, Esri GIS (Software), Azure Data Factory, Data Layers, Kubernetes, Information Technology, Collibra, AWS Glue, Data Management, Databricks
- **Published:** August 11, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9086785/data-layer-engineer

## About the Role

* Bachelor's degree in Data Management, Information Science, Computer Science, or a related field OR a minimum of 5 years of equivalent experience in data governance.
 * Demonstrated experience in developing and managing data governance frameworks.
 * Experience implementing metadata and data cataloging solutions.
 * Knowledge of DoD and IC data security policies compliance.
 * Experience with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview., * Certified Data Management Professional (CDMP).
 * DAMA Certified Data Governance Professional (DGSP).
 * Microsoft Certified: Azure Data Engineer Associate.

Required Education and Experience Equivalency

 * Bachelor's degree in Data Management, Information Science, Computer Science, or a related field.
 * OR Minimum of 5 years of equivalent experience in data governance.

## Description

Base-2 Solutions is seeking a Data Layer Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. This role involves designing, implementing, and optimizing data transformation workflows for geospatial and non-geospatial datasets., * Design, implement, and optimize data transformation workflows for geospatial and non-geospatial datasets.

 * Perform ETL (Extract, Transform, Load) processes, data structuring, and schema management.
 * Work with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
 * Utilize databases including PostgreSQL/PostGIS, SQL Server, and NoSQL.
 * Manage cloud storage solutions such as AWS S3, Azure Blob, and Google Cloud Storage.
 * Support Kubernetes-hosted geospatial applications.


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