Azure Data Engineer, MLOps

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🔥 2 hours ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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Chameleon Integrated Services

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Chameleon Integrated Services is a provider of high-quality IT solutions designed to enhance organizational effectiveness in both public and private sectors. They focus on three core principles: Prepare, Protect, and Prosper. By leveraging technology and innovation, Chameleon helps clients reduce risks, streamline operations, and modernize their IT infrastructure while ensuring cybersecurity and effective network management. With a commitment to personal growth and teamwork, Chameleon emphasizes building strong relationships and delivering transformational results.

📋 Description

• Build the Azure data pipelines, system integrations, deployment mechanisms, and operational MLOps foundation supporting SEA dashboards, applications, and AI/ML models • Produce architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures • 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 • 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 • Strong preferences 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

🏖️ Benefits

• Competitive Employee Health Insurance options including dental • 100% company paid vision plan • 401K plan with generous company match and no vesting period • 100% company paid life insurance • 100% company paid long and short-term disability insurance • Training allowance • PTO and more