Azure Data & MLOps Engineer — Remote (Travel to VA)

Xtreme Solutions Inc; Fort Lee (NJ); Remote; USD 120,000 - 180,000; Full time

Job summary

Xtreme Solutions Inc. is seeking an Azure Data/ML Ops Engineer to build Azure data pipelines, integrations, deployment mechanisms, and MLOps foundations supporting enterprise dashboards, applications, and AI/ML models. The role blends data engineering with Azure security and production ML.

Work is Primarily remote with required travel to Fort Lee, VA; must have active Final Secret clearance and strong Azure data-tech experience to deliver end-to-end data solutions.

Qualifications

• Bachelor's degree in computer science, information systems, engineering, data engineering, or related discipline; equivalent experience may substitute.
• 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 (Data Factory, Synapse, Databricks, SQL, Data Lake, Microsoft Fabric).
• Experience developing REST API, service, database, file-based, or event-driven integrations.
• Experience with data validation, schema management, error handling, logging, and recovery.

Responsibilities

• 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.

Skills

SQL

Python

CI/CD tooling

Data validation

Logging & monitoring

Education

Bachelor's degree in CS/IS/Engineering/Data Engineering

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Azure SQL

Azure Data Lake Storage

Microsoft Fabric

Git

Azure DevOps

Job description

Xtreme Solutions Inc. is seeking an Azure Data/ML Ops Engineer to build Azure data pipelines, integrations, deployment mechanisms, and MLOps foundations supporting enterprise dashboards, applications, and AI/ML models. The role blends data engineering with Azure security and production ML.

Work is Primarily remote with required travel to Fort Lee, VA; must have active Final Secret clearance and strong Azure data-tech experience to deliver end-to-end data solutions.