Azure Data Engineer, MLOps

Job not on LinkedIn

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Chameleon Integrated Services

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

🔒 Cybersecurity

IT Modernization • Cybersecurity • Cloud Services

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. • Task 4 requires compliant data pipelines, API or service-based integrations, data ingestion, transformation, synchronization, Azure-native services, security controls, integration architecture, data-flow documentation, and validated connections. • 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. • 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