Senior Data Engineer at Galent
About the role
Job Description Job Title: Senior Data Engineer \n Location: Washington, DC (Onsite Job) \n Employment Type: Full Time \n \n Must-Haves \n \n 4 years of hands-on Data Engineering experience \n Experience delivering multiple production-grade cloud data platform implementations \n Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks. \n Strong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization \n Experience with Git, CI/CD, automated …
Interview process at Galent
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 Galent interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.