Azure Data Engineer — Fabric & Lakehouse Expert

Trinity Health Group

Columbus (OH)

On-site

USD 110,000 - 150,000

Full time

7 days ago
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Job summary

NAC is seeking an experienced Data Engineer to join our delivery team. You will design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric to empower analytics, reporting, and digital transformation across the firm.

You will work with a modern data stack, automate pipelines, and deliver scalable, reliable data assets for enterprise use, collaborating with IT leadership and the data team to ensure governance and quality.

Qualifications

  • Bachelor's degree or equivalent experience in computer science or data engineering.
  • At least 3 years of Data Engineer experience in large enterprise environments.
  • Experience building data pipelines and cloud data solutions on Azure.

Responsibilities

  • Design, build, and maintain scalable data pipelines using Azure services (Data Factory, Synapse, Databricks).
  • Develop and maintain ETL/ELT processes to support reporting and analytics.
  • Create ingestion patterns from various sources (applications, APIs, databases, files).
  • Implement scheduling, orchestration, and error handling for reliable data loads.
  • Support Microsoft Fabric solutions including dataflows, lakehouses, and data warehouses.
  • Develop curated datasets and semantic models to support Power BI reporting.
  • Monitor performance and tune data workflows for scalability and reliability.
  • Collaborate with architects, analysts, and stakeholders; translate requirements into data solutions.

Skills

Azure Data Factory
Synapse Analytics
Databricks
SQL
Python
Power BI
Data Modeling
Data Governance
Git / Azure DevOps

Education

Bachelor's degree in CS/IS or related field

Tools

Microsoft Fabric
Azure Databricks
Azure DevOps
Power BI

Job description

NAC is seeking an experienced Data Engineer to join our delivery team. You will design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric to empower analytics, reporting, and digital transformation across the firm.

You will work with a modern data stack, automate pipelines, and deliver scalable, reliable data assets for enterprise use, collaborating with IT leadership and the data team to ensure governance and quality.

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