Data Engineer

GQR; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

GQR is seeking a hands-on Data Engineer to design scalable data platforms supporting Finance, Compliance, Facilities, RESO, and HCG. This is a long-term contract role, onsite in Manhattan.

You will build and optimize data pipelines with Azure and Databricks, develop ETL/ELT workflows for varied data, and integrate systems like Workday, ServiceNow, and Dataverse to enable analytics. You’ll ensure data quality, governance, and security while collaborating with business and tech teams.

Qualifications

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

Responsibilities

• 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

Skills

Advanced SQL

Python

Scala

C#

PowerShell

APIs

Tools

Azure Data Factory

Databricks

Azure Functions

Dataverse

Workday

ServiceNow

Job description

We’re hiring a hands‑on Data 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