DevOps Engineer
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Job Description
DevOps Engineer focusing on data layer architecture for geospatial and other data types. Working with cloud environments and ensuring data governance alignment.
Responsibilities:
- Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and service of geospatial, non-geospatial, structured and unstructured 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.
Requirements:
- Bachelor's degree in Data Management, Information Science, or a related field, or five (5) years of equivalent experience in DevOps engineering.
- Demonstrated experience in developing and managing data governance frameworks, implementing metadata and data cataloging solutions, and ensuring compliance with IC data security policies.
- Expertise with Esri geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
- Strong understanding of databases (PostgreSQL/PostGIS, SQL Server, NoSQL), cloud storage solutions (AWS S2, Azure Blob, Google Cloud Storage), and Kubernetes-hosted geospatial applications.
- Experience with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.
- Ability to manage and prioritize complex project tasks.
Benefits:
- medical insurance
- dental insurance
- life insurance
- FTO
- 401(k)
- professional development/advancement opportunities
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