Data Engineer at Kforce Technology Staffing
About the role
RESPONSIBILITIES: Kforce's client in NYC is seeking a highly skilled Data Engineer with strong hands-on experience in Apache Spark/PySpark, AWS EMR, Databricks, and Snowflake. The Data Engineer will be responsible for designing and building scalable, high-volume data pipelines, optimizing distributed data processing workloads, implementing data quality and observability frameworks, and resolving complex performance and production challenges across cloud-based data platforms. REQUIREMENTS: * Str…
Interview process at Kforce Technology Staffing
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 Kforce Technology Staffing interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.