Senior Data Engineer at Insight Global
About the role
Fully remote, with candidates required to live within driving distance of Seattle for rare onsite needs. Required Skills & Experience 7 years' data engineering experience, with at least 5 years in an Azure environment. Experience with DBT/DLT and working with Medallion Architecture Experience with Azure Cloud deployments and Configurations. Experience with CI/CD principles and best practices including Azure DevOps and Repos. Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and …
Interview process at Insight Global
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 Insight Global interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.