Overview NAC is seeking an experienced Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. This role will help unlock the full value of NAC’s data assets to support advanced analytics, reporting, and digital transformation across the firm. Location: Onsite in one of NAC's four offices (Columbus, Los Angeles, Seattle, or Spokane). This position reports to the Data Leader and collaborates with IT leadership and the data team.

Key Responsibilities Data Pipeline Development & Integration - Design, build, and maintain scalable data pipelines and integration workflows using Microsoft Azure services such as Data Factory, Synapse Analytics, Azure Databricks, and related technologies. - Develop and maintain ETL/ELT processes to support business reporting, analytics, and machine learning. - Build ingestion patterns for a range of sources, including business applications, APIs, relational databases, and file-based feeds. - Implement scheduling, orchestration, automation, and error handling so recurring data loads run reliably with minimal manual intervention.

Microsoft Fabric & Analytics Platform - Implement and support Microsoft Fabric solutions, including dataflows, lakehouses, data warehouses, and real-time analytics features. - Organize data in OneLake using a layered approach that keeps raw, enriched, and curated data clearly separated and traceable. - Develop and maintain curated datasets and semantic models that support Power BI reporting and self-service analysis. - Monitor capacity, refresh schedules, and job performance, and

Overview NAC is seeking an experienced Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. This role will help unlock the full value of NAC’s data assets to support advanced analytics, reporting, and digital transformation across the firm. Location: Onsite in one of NAC's four offices (Columbus, Los Angeles, Seattle, or Spokane). This position reports to the Data Leader and collaborates with IT leadership and the data team.

Key Responsibilities Data Pipeline Development & Integration - Design, build, and maintain scalable data pipelines and integration workflows using Microsoft Azure services such as Data Factory, Synapse Analytics, Azure Databricks, and related technologies. - Develop and maintain ETL/ELT processes to support business reporting, analytics, and machine learning. - Build ingestion patterns for a range of sources, including business applications, APIs, relational databases, and file-based feeds. - Implement scheduling, orchestration, automation, and error handling so recurring data loads run reliably with minimal manual intervention.

Microsoft Fabric & Analytics Platform - Implement and support Microsoft Fabric solutions, including dataflows, lakehouses, data warehouses, and real-time analytics features. - Organize data in OneLake using a layered approach that keeps raw, enriched, and curated data clearly separated and traceable. - Develop and maintain curated datasets and semantic models that support Power BI reporting and self-service analysis. - Monitor capacity, refresh schedules, and job performance, and