Senior Azure Data Engineer - Real-Time Analytics Pipelines

Orion180; Irving (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Orion180 seeks a Sr. Data Engineer to design, build, and optimize data integrations, cloud data infrastructure, and data models powering analytics and data science across the company.

You will lead robust data pipelines, orchestrate workflows in Azure, and implement governance frameworks to ensure secure, scalable data assets. You will collaborate with data scientists, analysts, and business leaders to turn raw data into production-ready assets for real-time analytics engines, risk platforms,

Qualifications

• 6+ years of data engineering experience, with at least 3 years in the Azure ecosystem within a regulated environment.
• Mastery of T-SQL and Python (PySpark).
• Extensive experience building Azure Data Factory pipelines.
• Experience with Azure Databricks and Spark for large-scale data processing.
• Designing data models and lakehouse architectures for analytics.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse, and Databricks.
• Design data models to support Power BI semantic layers and analytics.
• Implement data validation, lineage tracking, and governance for security and compliance.
• Develop real-time data streaming with Azure Event Hubs and Stream Analytics for fraud detection and monitoring.
• Collaborate with data scientists and analysts to productionalize ML features and ML workflows.

Skills

T-SQL mastery

Python (PySpark)

Azure data engineering

Data modeling

Analytical thinking

Education

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

Tools

Azure Data Factory

Azure Synapse

Azure Databricks

Azure Data Lake Storage

Delta Lake

Microsoft Purview

Power BI

SQL Server / Azure SQL Database

Job description

Orion180 seeks a Sr. Data Engineer to design, build, and optimize data integrations, cloud data infrastructure, and data models powering analytics and data science across the company.

You will lead robust data pipelines, orchestrate workflows in Azure, and implement governance frameworks to ensure secure, scalable data assets. You will collaborate with data scientists, analysts, and business leaders to turn raw data into production-ready assets for real-time analytics engines, risk platforms,