Data Engineer II

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 is seeking a Data Engineer II in Smyrna, GA (onsite) to build and support secure, scalable data solutions. In this role, you will design ETL/ELT pipelines and data integrations while leveraging AI, Generative AI, and AI-assisted development tools to improve development efficiency and automate data engineering workflows.

What you’ll do

• Design, develop, test, and maintain secure, reliable, scalable ETL/ELT pipelines aligned to business requirements and user stories.
• Develop and enhance data processing frameworks using SQL, C#, SSIS, and Azure technologies.
• Build and maintain integrations between internal systems, external data sources, applications, and reporting environments.
• Write and optimize complex SQL queries, stored procedures, and transformation logic.
• Design and support relational databases, data warehouses, and dimensional data models.
• Monitor pipeline execution and troubleshoot processing failures, data discrepancies, and performance issues.
• Implement data validation and quality controls throughout data pipelines.
• Create cloud-based solutions using Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics, and Azure Functions.
• Use Azure Key Vault and other security tools to support secure data access and credential management.
• Support additional modern data processing technologies as applicable, including Snowflake and Spark.
• Identify opportunities to improve infrastructure, scalability, reliability, and data delivery.

AI-assisted data engineering

• Leverage AI, Generative AI, and AI-assisted tools to accelerate ETL/ELT pipeline development.
• Apply AI technologies to support automation, testing, documentation, and optimization of data engineering workflows.
• Identify opportunities to automate repetitive data engineering and operational processes.
• Evaluate emerging AI and data technologies for potential application within Curant Health’s data environment.
• Ensure AI-assisted solutions align with security, privacy, data governance, and data quality standards.

Build, release, and collaborate

• Develop, test, debug, and maintain code to ensure solutions meet technical and business requirements.
• Design and support Azure DevOps CI/CD pipelines for automated deployment and release management.
• Participate in code reviews, testing, troubleshooting, and production deployment activities.
• Estimate and plan development work, track progress, and deliver projects within established timelines.
• Maintain technical documentation for pipelines, integrations, processes, configurations, and troubleshooting procedures.
• Take ownership of assigned projects from requirements gathering through ongoing support.
• Partner with business stakeholders, analysts, developers, and IT team members to understand requirements and implement solutions.
• Translate business requirements into technical specifications and scalable data solutions.
• Communicate project status, technical challenges, risks, and recommended solutions clearly to relevant stakeholders.

Additional platform support

• Support administration, maintenance, and development of SharePoint and SharePoint Online as needed.
• Assist with creation and management of SharePoint sites, permissions, integrations, and related solutions.
• Troubleshoot SharePoint-related issues and coordinate resolutions as appropriate.

Required qualifications

• Strong experience with SQL, C#, SSIS, Azure data technologies, and modern data engineering practices.
• Ability to work closely with technical and business partners to translate requirements into secure, reliable, and scalable data solutions.

Technologies: SQL, C#, SSIS, Azure, ETL/ELT, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics, Azure Functions, Azure Key Vault, Snowflake, Spark, AI, Generative AI, AI-assisted development tools, Azure DevOps CI/CD, SharePoint, SharePoint Online