Job Type
Contract
Description
CASCOM ESD Enterprise Analytics/AI ProgramSchedule: Full-Time / 1.0 FTE
Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA
Clearance: Active Final Secret Required
The OpportunityThis role sits where data engineering, Azure integration, security, and production ML meet.
The Azure Data & MLOps Engineer will build the Azure data pipelines, integrations, deployment mechanisms, and MLOps foundation supporting enterprise dashboards, applications, and AI/ML models.
What You'll Do- Design data-ingestion and system-integration architecture.
- Connect the analytics environment to authoritative Army systems.
- Build and maintain production pipelines for ingestion, transformation, reconciliation, and synchronization.
- Develop REST API, service, database, file-based, and event-driven integrations.
- Support structured, semi-structured, and document-based data.
- Establish model-development and deployment environments.
- Implement CI/CD, versioning, model packaging, releases, rollback, and monitoring.
- Deploy models as endpoints, containers, batch jobs, or integrated services.
- Configure identity, secrets, logging, monitoring, alerting, and security controls.
- Diagnose data latency, data quality, pipeline, model-endpoint, and integration failures.
- Develop architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures.
- Support Power BI and Power Apps data connections.
Requirements
Must-Have Qualifications- Active final Secret clearance.
- 6+ years of data engineering, cloud engineering, platform engineering, or software integration experience.
- 3+ years using Microsoft Azure.
- Hands-on Azure data-engineering experience.
- Strong SQL and Python skills.
- Experience building production ETL/ELT pipelines and API-based integrations.
- Experience deploying or operationalizing machine-learning models.
- Experience implementing identity, access, secrets, logging, and monitoring within cloud environments.
- Production experience with at least two major Azure data technologies, such as:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Databricks
- Azure SQL
- Azure Data Lake Storage
- Microsoft Fabric
- Experience developing REST API, service, database, file-based, or event-driven integrations.
- Experience with Git, Azure DevOps, or comparable CI/CD tooling.
- Experience with data validation, schema management, error handling, logging, and recovery.
- Bachelor's degree in computer science, information systems, engineering, data engineering, or related discipline; equivalent experience may substitute.
Strongly Preferred- Azure Government, cARMY, IL4/IL5/IL6, GCC High, or comparable restricted Government environments.
- Azure Machine Learning, Azure OpenAI, MLflow, Docker, Kubernetes, or model-serving technologies.
- Entra ID, managed identities, Key Vault, RBAC, private endpoints, network controls, and secure secrets management.
- GCSS-Army, SAP, ERP, Army logistics, or DoD system integration.
- Data lineage, metadata, governance, and architecture documentation.
- Power BI gateways, semantic models, or Power Platform integration.
- Classified-data support experience.
