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Data Engineer II

Job in Smyrna, Cobb County, Georgia, 30081, USA
Listing for: Curant Health Georgia LLC
Full Time position
Listed on 2026-10-12
Job specializations:
  • Software Development
    Azure, Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 95000 - 130000 USD Yearly USD 95000.00 130000.00 YEAR
Job Description & How to Apply Below

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 Dev Ops 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 Share Point 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 Dev Ops CI/CD, SharePoint, SharePoint Online

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