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Prep risk & audit

Data Engineer
Gilead
Mid Level
8 rounds
Updated 5/28/2026

For data and analytics roles like Sr. Risk and Audit Data Analyst, Gilead typically runs a multi-stage process: an initial recruiter screen, 1-2 phone/video technical and hiring manager screens, followed by a multi-interview onsite loop (4-6 rounds) focused on SQL/Python, data engineering for audit/risk analytics, model development and validation, domain-specific case studies, and culture/values fit.[7][8][9][14] For this role, expect emphasis on translating audit and risk objectives into scalable analytics and data products, partnering with Internal Audit, and demonstrating alignment with Gilead’s patient-focused mission and core values.[11]

Interview Rounds

1

Recruiter Screening (Talent Acquisition)

2

Technical Phone Screen – SQL and Data Manipulation

3

Technical Phone/Video Screen – Python and Data Engineering Fundamentals

4

Onsite Round 1 – Internal Audit and Risk Analytics Case Study

5

Onsite Round 2 – Data Engineering and ETL Design for Audit-Ready Datasets

6

Onsite Round 3 – Statistical and Machine Learning Models for Risk Detection

7

Onsite Round 4 – Behavioral and Cross-Functional Collaboration (Gilead Values)

8

Onsite Round 5 – Hiring Manager / Internal Audit Leadership Deep Dive

Additional Information

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Gilead Data Engineer Interview Questions & Prep Guide (Mid-Level) | InterviewStack.io