Azure Data Engineer: Build Scalable Lakehouses & Fabric

NAC

Los Angeles (CA)

On-site

USD 125,000 - 150,000

Full time

4 days ago

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Job summary

NAC is seeking an experienced Data Engineer to join our IT delivery team, focusing on designing, building, and optimizing data solutions on Microsoft Azure and Microsoft Fabric. You will contribute to scalable pipelines, governed lakehouses, and reliable analytics across the enterprise.

Work involves automating data flows, tuning models and datasets, and partnering with data governance, architecture, and BI teams to deliver high-quality data for reporting and decision-making.

Qualifications

Bachelor's degree in computer science, data engineering, information systems, or related field preferred.
At least 3 years of experience as a Data Engineer in enterprise environments.
Experience building data pipelines on Azure and with Microsoft Fabric preferred.
Strong SQL, Python or PySpark, and data modeling skills.

Responsibilities

Design, build, and maintain scalable data pipelines and integration workflows on Azure.
Develop ETL/ELT processes supporting reporting, analytics, and ML.
Optimize data architectures for performance, reliability, and cost.
Collaborate with IT and data governance teams to ensure data quality and security.

Skills

Azure data services

SQL

Python/PySpark

Data modeling

Communication skills

Problem-solving

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

Synapse Analytics

Azure Databricks

Microsoft Fabric

Power BI

Job description

Work involves automating data flows, tuning models and datasets, and partnering with data governance, architecture, and BI teams to deliver high-quality data for reporting and decision-making.

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