NC Fast Data Scientist- Mid Level

Wiserhunt • Raleigh, NC

6d • Hybrid

About The Position

The North Carolina Department of Health and Human Services seeks a data professional to design, manage, and optimize enterprise data pipelines and data warehouses, and to deliver advanced analytics solutions using Microsoft Azure services. The role transforms complex data into business insights using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services.

The position is listed as hybrid, with a worksite at 1915 Health Services Way, Raleigh, NC 27607. The assignment is scheduled to start October 5, 2026, and end October 4, 2027. The posting refers to the requested role as a Senior Data Analyst in its description, although the listed title is “NC Fast Data Scientist- Mid Level.”

Requirements

• Seven years of experience in enterprise data analytics, engineering, and designing complex ETL workflows.
• Four years of expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing.
• Seven years of advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies.
• Six years of hands-on experience with PySpark, Python, or Scala.
• Four years of experience with data modeling, performance tuning, and cost optimization in Azure.
• Three years of strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security.
• Three years of familiarity with Power BI semantic models and dataflows.
• Seven years of ability to organize, prioritize, and follow complex and/or detailed technical procedures.
• Three years of experience with Agile development, such as Scrum, Kanban, or SAFe.

Nice To Haves

• Three years of knowledge of Azure OpenAI or generative AI data integration; this skill is marked highly desired.

Responsibilities

• Design, build, and maintain enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.
• Manage and optimize Azure Synapse Analytics SQL and Spark pools and Microsoft Fabric Lakehouse.
• Develop, test, and tune SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.
• Collaborate with business users to define analytical goals and build Power BI-ready datasets.
• Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.
• Enforce data governance, data quality, and security using Microsoft Purview and Microsoft Entra ID.
• Build cross-functional reporting, dashboards, and predictive analytics models.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed