Azure Data Engineer - Fabric & Lakehouse Analytics

NAC; Seattle (WA); On-site; USD 125,000 - 150,000; Full time

Job summary

NAC is seeking a Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. You will contribute to a modern data stack, automate pipelines, and deliver reliable data for analytics across the firm.

You will work closely with the Data Leader and IT teams to scale data assets, create curated datasets, and support governance and security while ensuring production-grade operations in a multi-office environment including Seattle.

Qualifications

• Bachelor's degree in computer science, Data Engineering, Information Systems, or related field preferred (or equivalent).
• At least 3 years of experience as a Data Engineer in large enterprise environments.
• Demonstrated expertise building data pipelines and cloud data solutions on Azure.
• Experience with Microsoft Fabric is strongly preferred.

Responsibilities

• Design, build, and maintain scalable data pipelines and data integration workflows using Microsoft Azure services such as Data Factory, Synapse Analytics, Azure Databricks, and related technologies.
• Develop and maintain ETL/ELT processes that 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.

Skills

Azure data services

SQL

Data modeling

Python

Power BI

Education

Bachelor's degree in CS or related field

Tools

Git

Azure DevOps

Databricks

Synapse Analytics

Job description

NAC is seeking a Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. You will contribute to a modern data stack, automate pipelines, and deliver reliable data for analytics across the firm.

You will work closely with the Data Leader and IT teams to scale data assets, create curated datasets, and support governance and security while ensuring production-grade operations in a multi-office environment including Seattle.