Azure Data Engineer: Hybrid for Scalable Data Platforms

The Intersect Group; Addison (TX); Hybrid; USD 90,000 - 130,000; Full time

Job summary

The Intersect Group is partnering with a mission-driven organization in a highly regulated environment to design and build enterprise data solutions. The role focuses on acquiring, transforming, and managing data from diverse systems while ensuring reliability and performance in Azure-based platforms.

The ideal candidate brings strong SQL Server, Azure Data Factory, and Python experience, with healthcare or regulated data knowledge considered highly desirable.

Qualifications

• 4+ years in database development, data integration, or ETL roles.
• 2+ years of hands-on experience with Azure Data Factory in production.
• 1+ years in healthcare, financial, or other regulated data domains.
• Experience with Python development for data workflows.

Responsibilities

• Design, develop, and maintain scalable data platforms and architectures.
• Integrate data from EMR, HR, accounting, CRM and other sources.
• Build and support ETL/ELT pipelines using Azure Data Factory and Python.
• Develop pipelines using AI/LLM for extraction and processing.
• Perform data profiling, cleansing, transformation, and validation.
• Maintain Master Data Management and data quality controls.
• Establish data lineage and monitoring across environments.
• Collaborate with stakeholders to deliver scalable data solutions.

Skills

Python

Data modeling

ETL development

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

Microsoft SQL Server

T-SQL

Azure cloud services

Job description

The Intersect Group is partnering with a mission-driven organization in a highly regulated environment to design and build enterprise data solutions. The role focuses on acquiring, transforming, and managing data from diverse systems while ensuring reliability and performance in Azure-based platforms.

The ideal candidate brings strong SQL Server, Azure Data Factory, and Python experience, with healthcare or regulated data knowledge considered highly desirable.