Data Engineer at SAIC
About the role
Job ID: 2617790 Location: Washington, DC, US Date Posted: 2026-10-09 Category: Information Technology Subcategory: Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Public Trust Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a hands-on Data Engineer with strong Azure experience to build and maintain reliable, scalable data pipelines and datasets that power analytics and operational insights…
Interview process at SAIC
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 SAIC interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.