Senior Azure Data Engineer - Real-Time Analytics Leader

Orion180 Insurance Services, LLC; Irving (TX); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k plan

Paid holidays

Job summary

Orion180 Insurance Services, LLC is seeking a Sr. Data Engineer to design, build, and optimize scalable data pipelines powering analytics and data science across our organization. You will lead Azure-based data integrations and manage data models that support real-time analytics and client-facing platforms.

The role emphasizes data governance, security, and collaboration with data scientists and business leaders to turn raw data into actionable insights.

Qualifications

• 6+ years in data engineering, with 3+ years in Azure-focused, regulated environments.
• Mastery of T-SQL and Python (PySpark) for data processing.
• Hands-on experience building ETL/ELT pipelines with Azure data services.

Responsibilities

• Design, build, and optimize data pipelines powering analytics and data science.
• Lead data integrations and cloud data infrastructure across the company.
• Develop real-time data streaming and event-driven architecture using Azure services.
• Implement data governance, data masking, and regulatory compliance measures.

Skills

T-SQL

Python

Azure Data Factory

Azure Synapse

Databricks

PowerBI modeling

Data governance

CI/CD for data pipelines

MLOps basics

Communication

Analytical thinking

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics

Tools

Azure Data Factory

Azure Synapse

Databricks

Power BI

Microsoft Purview

Azure Event Hubs

Azure Stream Analytics

Azure DevOps

Job description

Orion180 Insurance Services, LLC is seeking a Sr. Data Engineer to design, build, and optimize scalable data pipelines powering analytics and data science across our organization. You will lead Azure-based data integrations and manage data models that support real-time analytics and client-facing platforms.

The role emphasizes data governance, security, and collaboration with data scientists and business leaders to turn raw data into actionable insights.