Senior Azure Data Engineer - Data Pipelines & Analytics

Orion180 Insurance Services LLC; Irving (TX); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision

401k

Paid holidays, PTO

Job summary

Orion180 Insurance Services LLC in Irving, TX is seeking a Sr. Data Engineer to lead data infrastructure, pipelines, and governance in a regulated financial context. You will collaborate with data scientists, analysts, and business leaders to productionize data assets for real-time analytics and risk platforms.

The role emphasizes ownership, curiosity, and mentoring junior engineers within an Agile DataOps environment. On-site role with competitive compensation and benefits.

Qualifications

• 6+ years of dedicated data engineering experience.
• 3+ years focused on the Azure ecosystem in regulated environments.
• Mastery of T-SQL and strong Python (or PySpark) scripting.
• Experience building ETL/ELT pipelines and data modeling.

Responsibilities

• Build and maintain scalable, fault-tolerant ETL/ELT pipelines in Azure stack.
• Design data models and Lakehouse architectures for analytics.
• Implement data validation, lineage, and security controls with governance tooling.
• Develop real-time streaming and event-driven data solutions for fraud detection and monitoring.

Skills

T-SQL

Python / PySpark

Azure Data Factory

Azure Synapse

Azure Databricks

Power BI

Data Governance

DevOps (Azure Pipelines)

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Azure Data Factory

Azure Synapse

Azure Databricks

Microsoft Purview

Power BI

Azure DevOps

Job description

Orion180 Insurance Services LLC in Irving, TX is seeking a Sr. Data Engineer to lead data infrastructure, pipelines, and governance in a regulated financial context. You will collaborate with data scientists, analysts, and business leaders to productionize data assets for real-time analytics and risk platforms.

The role emphasizes ownership, curiosity, and mentoring junior engineers within an Agile DataOps environment. On-site role with competitive compensation and benefits.