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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data & MLOps Engineer - **Company:** Xtreme Inc - **Location:** Fort Lee, VA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Integration Architecture, Microsoft Azure, Cloud Engineering, Information Systems, Databases, Continuous Integration, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Flow Control, Python (Programming Language), Key Management, Machine Learning, Metadata, SQL Azure, Role-Based Access Control, Power BI, Standard Sql, Azure Machine Learning, Azure Data Lake, SAP (Applications), Systems Integration, Management of Software Versions, Data Logging, Cloud Platform System, Data Ingestion, Azure Data Factory, Power Platform Integration, Git, SC Clearance, Microsoft Fabric, Kubernetes, Information Technology, Data Lineage, Machine Learning Operations, Api Design, Restful APIs, Azure Synapse Analytics, Data Pipelines, Powerapps, Docker, Key Vault, Databricks - **Published:** August 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e809e8b53bf9fa8f ## About the Role * 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. ## Description 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. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Hacking MSSQL on Cloud. All of them. 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