Data Engineer II — Onsite Smyrna, AI-Driven ETL & Azure

Curant Health Georgia LLC; Smyrna (GA); On-site; USD 95,000 - 130,000; Full time

Job summary

Curant Health Georgia LLC seeks a Data Engineer II to design and build secure, scalable data solutions in Smyrna, GA onsite. You will develop ETL/ELT pipelines using SQL, C#, and Azure technologies, while leveraging AI-assisted tools to boost development efficiency and automate workflows.

You’ll create integrations across systems, maintain data warehouses and pipelines, and ensure data quality and security using Azure services and modern data platforms.

Qualifications

• Experience designing and implementing ETL/ELT pipelines.
• Strong SQL skills and ability to write complex queries.
• Familiarity with data warehouses and dimensional data models.
• Experience with Azure data technologies and related tools.

Responsibilities

• Design, develop, test, and maintain secure, scalable ETL/ELT pipelines.
• Build and enhance data processing frameworks using SQL, C#, and Azure tech.
• Create and maintain integrations between internal systems and external data sources.
• Write and optimize complex SQL queries, stored procedures, and transformations.
• Design relational databases, data warehouses, and dimensional models.
• Monitor pipelines, troubleshoot failures, and resolve data discrepancies.
• Implement data validation and quality controls across pipelines.
• Develop cloud-based data solutions using Azure Data Factory, Azure SQL, Databricks, Synapse, and Functions.
• Use Azure Key Vault and security tools for credential management.

Skills

SQL

C#

SSIS

Azure

Data integration

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

Job description

Curant Health Georgia LLC seeks a Data Engineer II to design and build secure, scalable data solutions in Smyrna, GA onsite. You will develop ETL/ELT pipelines using SQL, C#, and Azure technologies, while leveraging AI-assisted tools to boost development efficiency and automate workflows.

You’ll create integrations across systems, maintain data warehouses and pipelines, and ensure data quality and security using Azure services and modern data platforms.