Data Engineer at Resource Logistics
About the role
Job Title: Data Engineer Location : San Antonio, TX/ Pplano, TX Job Type : Contract Job Summary We are seeking an experienced Data Engineer with strong hands-on expertise in Snowflake cloud data warehousing and modern ELT development using dbt (Core or Cloud). The ideal candidate will have deep proficiency in advanced SQL, scalable data pipeline development, performance tuning, and cost optimization. The candidate will lead technical design and implementation, establish CI/CD and data quality p…
Interview process at Resource Logistics
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 Resource Logistics interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.