Data Engineer at GQR
About the role
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…
Interview process at GQR
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types GQR interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.