Azure Data & MLOps Engineer
On-siteFort Lee Henrico County, Virginia, United States
Job Summary
Design data-ingestion and system-integration architecture connecting the analytics environment to authoritative Army systems. Build and maintain production pipelines for ingestion, transformation, reconciliation, and synchronization using Azure Data Factory, Synapse, Databricks, or Fabric. Develop REST API, service, database, file-based, and event-driven integrations while establishing model-development and deployment environments for machine-learning models. Implement CI/CD, versioning, model packaging, releases, rollback, and monitoring to deploy models as endpoints, containers, batch jobs, or integrated services. Configure identity, secrets, logging, monitoring, alerting, and security controls within cloud environments. 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.
Required Qualifications
- 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
- Primarily Remote with Required Travel to Fort Lee, VA
Desired Qualifications
- 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
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