Azure Data & MLOps Engineer — Remote

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 design and implement Azure data pipelines and MLOps foundations supporting enterprise dashboards and AI/ML models.

The role sits at the intersection of data engineering, Azure integration, security, and production ML. You will build data pipelines, deploy models, and establish CI/CD, logging, and monitoring while connecting to Army systems and Power BI connections.

Qualifications

• Active final Secret clearance is required.
• 6+ years of data engineering, cloud engineering, platform engineering, or software integration experience.
• 3+ years using Microsoft Azure.
• Hands-on Azure data-engineering experience.
• 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.
• Bachelor's degree in computer science, information systems, engineering, data engineering, or related discipline; equivalent experience may substitute.

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

Azure

ETL/ELT pipelines

API integrations

CI/CD tooling

Data validation

Security and IAM

Education

Bachelor's degree in computer science, information systems, engineering, data engineering, or related

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Azure SQL

Azure Data Lake Storage

Microsoft Fabric

Job description

Xtreme Solutions, Inc. is seeking an Azure Data & ML Ops Engineer to design and implement Azure data pipelines and MLOps foundations supporting enterprise dashboards and AI/ML models.

The role sits at the intersection of data engineering, Azure integration, security, and production ML. You will build data pipelines, deploy models, and establish CI/CD, logging, and monitoring while connecting to Army systems and Power BI connections.