Azure Data & MLOps Engineer

Xtreme Solutions Inc is a leading provider of information technology and professional services known for outstanding service delivery. The Azure Data & MLOps Engineer will build Azure data pipelines and integrations while supporting enterprise dashboards and AI/ML models.

Responsibilities:

• 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:

• 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