CASCOM ESD Enterprise Analytics/AI Program

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.

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.

About Xtreme SolutionsXSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company’s incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities.