Azure Data Engineer - Leading Hedge Fund - New York

Mondrian Alpha; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

A leading hedge fund in New York is looking for an Azure Data Engineer to design and optimize Azure-based data solutions. The role involves building scalable data pipelines and collaborating with teams to ensure data quality and compliance. Candidates should have strong experience with Azure Data Services, Databricks, and programming skills in SQL, Python, and PySpark. Competitive compensation is offered with a salary range of $140,000 to $180,000 annually.

Qualifications

• Strong experience with Azure Data Services.
• Proficiency with Databricks for big data processing.
• Strong SQL skills and programming experience in Python and PySpark.
• Solid understanding of data modeling and governance.
• Exposure to Power BI integration and Azure DevOps.

Responsibilities

• Design, develop, and optimize Azure-based data solutions.
• Build scalable data pipelines for analytics and reporting.
• Collaborate with teams to implement data models and compliance frameworks.
• Uphold data quality and security standards.

Skills

Azure Data Services (Microsoft Fabric, Purview, Data Factory, Synapse, Data Lake, Azure SQL)

Databricks for big data processing

SQL

Python

PySpark

Data modeling and governance

Power BI integration

Azure DevOps for Data (CI/CD, Git)

AI/ML tools (OpenAI)

Job description

Overview

Hedge Fund Technology Search | Mondrian Alpha

My client, a leading hedge fund, is seeking an Azure Data Engineer to join their team in New York.

This individual will be responsible for designing, developing, and optimizing modern Azure-based data solutions, building scalable data pipelines and governance frameworks that support enterprise-wide analytics and reporting.

Responsibilities

• Design, develop, and optimize Azure-based data solutions.
• Build scalable data pipelines and governance frameworks to support analytics and reporting across the enterprise.
• Collaborate with cross-functional teams to implement data models, cataloging, lineage, and compliance frameworks.
• Contribute to high-impact data projects and uphold data quality and security standards.

Qualifications

• Strong experience with Azure Data Services (Microsoft Fabric, Purview, Data Factory, Synapse, Data Lake, Azure SQL).
• Proficiency with Databricks for big data processing and analytics.
• Strong SQL skills and programming experience (Python, PySpark).
• Solid understanding of data modeling and governance, including cataloging, lineage, and compliance frameworks.
• Exposure to Power BI integration, Azure DevOps for Data (CI/CD, Git, deployment automation), and AI/ML tools such as OpenAI is highly advantageous.

Compensation

Base pay range: $140,000.00/yr - $180,000.00/yr

How to apply

Apply now via the link below or send your resume directly to [e-mail].