Azure Data & MLOps Engineer

Xtreme Inc

Fort Lee, VA, United States

30 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Application Integration Architecture Microsoft Azure Cloud Engineering Information Systems Databases Continuous Integration Data Validation Information Engineering Extract Transform Load (ETL) Data Flow Control Python (Programming Language) Key Management

+31 more

Machine Learning Metadata SQL Azure Role-Based Access Control Power BI Standard Sql Azure Machine Learning Azure Data Lake SAP (Applications) Systems Integration Management of Software Versions Data Logging Cloud Platform System Data Ingestion Azure Data Factory Power Platform Integration Git SC Clearance Microsoft Fabric Kubernetes Information Technology Data Lineage Machine Learning Operations Api Design Restful APIs Azure Synapse Analytics Data Pipelines Powerapps Docker Key Vault Databricks

Job description

The Azure Data & MLOps Engineer will build the Azure data pipelines, integrations, deployment mechanisms, and MLOps foundation supporting enterprise dashboards, applications, and AI/ML models.

What You’ll Do

Design data-ingestion and system-integration architecture.
Connect the analytics environment to authoritative Army systems.
Build and maintain production pipelines for ingestion, transformation, reconciliation, and synchronization.
Develop REST API, service, database, file-based, and event-driven integrations.
Support structured, semi-structured, and document-based data.
Establish model-development and deployment environments.
Implement CI/CD, versioning, model packaging, releases, rollback, and monitoring.
Deploy models as endpoints, containers, batch jobs, or integrated services.
Configure identity, secrets, logging, monitoring, alerting, and security controls.
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.

Requirements

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.

Strongly Preferred

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.