Azure Data & MLOps Engineer
Job Description
Job Description
Description:
CASCOM ESD Enterprise Analytics/AI Program
Schedule: Full-Time / 1.0 FTE
Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA
Clearance: Active Final Secret Required
This 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.
- 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.
- 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.
Equal Employment Opportunity Xtreme Solutions, Inc. is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without discrimination based on any status protected by applicable federal, state, or local law.As a federal contractor, Xtreme Solutions, Inc. takes affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. We are committed to providing equal employment opportunities throughout all aspects of employment, including recruitment, hiring, promotion, compensation, training, and other terms and conditions of employment. Equal Opportunity Employer | Individuals with Disabilities | Protected Veterans
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