Azure Data and MLOps Engineer

Chameleon Integrated Services is a growing information technology company focused on federal IT infrastructure and cybersecurity. They are seeking an Azure Data and MLOps Engineer to build Azure data pipelines, system integrations, and operational MLOps foundations for dashboards and AI/ML models.

Responsibilities:

• Design SEA data-ingestion and integration architecture
• Connect SEA to additional authoritative Army systems
• Build and maintain pipelines that ingest, transform, reconcile, and synchronize data
• Develop API and service integrations using approved Army patterns
• Support structured, semi-structured, and document-based data
• Implement model-development and deployment environments
• Establish CI/CD, versioning, model packaging, release, rollback, and monitoring
• Configure identity, secrets, logging, alerting, and security controls
• Diagnose data latency, quality, pipeline, model-endpoint, and integration failures
• Produce architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures
• Support Power BI and Power Apps data connections

Requirements:

• Active Secret clearance
• Hands-on Azure data-engineering experience
• Strong SQL and Python capability
• 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 in cloud environments
• Bachelor's degree in computer science, information systems, engineering, data engineering, or a related discipline; equivalent experience may substitute
• Six or more years in data engineering, cloud engineering, platform engineering, or software integration
• Three or more years using Microsoft Azure
• Experience with at least two major Azure data technologies, such as: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL, Data Lake Storage, Microsoft Fabric where relevant
• Experience developing REST API, services, databases, 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
• Experience deploying models as endpoints, containers, batch jobs, or integrated services
• Azure Government, cARMY, IL4/IL5/IL6, GCC High, or another restricted Government environment
• 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
• Experience supporting classified data