Prepare. Protect. Prosper.
Azure Data Engineer, MLOps
Location
Virginia
Posted
3 days ago
Salary
0
Seniority
Senior
Job Description
Azure Data Engineer, MLOps
Chameleon Integrated Services
• 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.
Job 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
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