Cloud Data Engineer: Azure, Salesforce & Power BI

Expert Technology Services

North Carolina

On-site

USD 90,000 - 130,000

Full time

6 days ago
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Job summary

NC DHHS is seeking an experienced Data Engineer to support cloud-based data engineering and analytics initiatives in Raleigh, NC. You will design, develop, and optimize scalable data pipelines and analytics solutions, including ETL/ELT processes using Azure Synapse Analytics and Azure Data Factory.

You will build data ingestion workflows and integrate data with Salesforce, work with Curam/Oracle as needed, and develop semantic layers to support Power BI dashboards and reporting.

Qualifications

  • Experience as a Data Engineer focused on cloud-based data engineering and analytics initiatives.
  • Strong SQL, data modeling, and data quality skills required.
  • Experience with data pipelines, ETL/ELT and data integration across systems.

Responsibilities

  • Design, develop, and optimize scalable data pipelines and analytics solutions.
  • Build and maintain ETL/ELT pipelines using Azure services.
  • Integrate data with Salesforce and other enterprise systems.
  • Develop data models and semantic layers for reporting with Power BI.
  • Collaborate with analysts, BI developers, and stakeholders to translate requirements.
  • Ensure security, governance, and data quality across pipelines.
  • Troubleshoot pipeline failures and data ingestion issues; monitor performance.

Skills

SQL
Azure Synapse
Azure Data Factory
Power BI
Salesforce
ETL/ELT
Data modeling
Data governance
Analytics

Tools

Azure Synapse Analytics
Azure Data Factory
Salesforce
Power BI

Job description

NC DHHS is seeking an experienced Data Engineer to support cloud-based data engineering and analytics initiatives in Raleigh, NC. You will design, develop, and optimize scalable data pipelines and analytics solutions, including ETL/ELT processes using Azure Synapse Analytics and Azure Data Factory.

You will build data ingestion workflows and integrate data with Salesforce, work with Curam/Oracle as needed, and develop semantic layers to support Power BI dashboards and reporting.

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