Databricks Engineer

GQR; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

GQR is seeking a hands-on Databricks Engineer to design scalable data platforms across Finance, Compliance, Facilities, RESO, and HCG. This long-term contract role is onsite in Manhattan, focusing on building robust data pipelines and integration with systems like Workday and Dataverse.

Key requirements include advanced SQL, Python/Scala/C#/PowerShell, and 5+ years of data engineering experience, with Azure Data Factory and Databricks expertise.

Qualifications

• 5+ years in data engineering.
• Strong SQL skills.
• Experience with Azure Databricks.
• Experience with ETL/ELT pipelines.
• Experience with enterprise integrations.
• Data quality, governance, security and performance are important.

Responsibilities

• Design and optimize data pipelines using Azure and Databricks.
• Build ETL/ELT workflows for structured and unstructured data.
• Integrate platforms like Workday, ServiceNow, and Dataverse.
• Develop data models for analytics and reporting.
• Ensure data quality, governance, security, and performance.
• Partner with business and tech teams to deliver enterprise solutions.

Skills

Advanced SQL

Python

Scala

C#

PowerShell

Azure Data Factory

APIs

Azure Functions

Education

5+ years data engineering experience

Tools

Databricks

Azure Data Factory

Workday

ServiceNow

Dataverse

APIs

Job description

We’re hiring a hands-on Databricks Engineer to build scalable data platforms across key corporate functions including Finance, Compliance, Facilities, RESO, and HCG. This is a longterm contract role, onsite in Manhattan.

What You’ll Do

• Design and optimize data pipelines using Azure + Databricks
• Build ETL/ELT workflows for structured and unstructured data
• Integrate platforms like Workday, ServiceNow, and Dataverse
• Develop data models for analytics and reporting
• Ensure data quality, governance, security, and performance
• Partner with business and tech teams to deliver enterprise solutions

What You’ll Need

• Advanced SQL skills
• Python, Scala, C#, or PowerShell experience
• Azure Data Factory or similar pipeline tools
• Experience with APIs, Azure Functions, and enterprise integrations
• 5+ years in data engineering

Nice to Have