Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Training and development opportunities
Company Overview