Data Engineer

Role Overview

Kroll is seeking a high-performing Data Engineer to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role involves designing and implementing production-grade data pipelines, working with cloud-native tooling, and partnering with senior engineers and data scientists on systems that matter.

What You Will Do

Design and build scalable organizational data infrastructure, develop robust ETL/ELT applications, work with stakeholders to assist with data-related technical solutions, and monitor and troubleshoot data pipelines for performance.

Why It Might Be a Fit

This role offers real engineering responsibility, direct mentorship from senior engineers and data leaders, and meaningful impact on firm-wide analytics and automation initiatives.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related field
• 3+ years of proven experience in data engineering
• Experience writing ETL/ELT jobs
• Experience with Azure and Databricks Platform
• Experience with Python, and SQL
• Excellent communication skills
• Ability to work with an international team

Benefits

• Meaningful impact on firm-wide analytics and automation initiatives
• Direct mentorship from senior engineers and data leaders
• High-bar engineering environment focused on quality, scale, and long-term thinking