Intern, Technology - Data Engineering

Kroll • New York, NY

1d • $20 - $25

About The Position

Technology – Data Engineering - Intern
Kroll is a global leader in Risk and Financial Advisory services, operating at the intersection of data, technology, and complex decision-making. We are seeking a high-performing Data Engineering Intern to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role is for candidates who want real engineering responsibility, not shadow work. You will design and implement production-grade data pipelines, work with cloud-native tooling, and partner with senior engineers and data scientists on systems that matter.
At Kroll, your work will help deliver clarity to our clients’ most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll.

Requirements

• Currently pursuing a degree in Computer Science, Data Engineering, or a closely related technical field
• Graduation date between December 2026 and September 2027
• Strong command of SQL and at least one programming language (Python preferred)
• Solid understanding of data structures, algorithms, and systems fundamentals
• Experience building data pipelines or backend systems through coursework, research, or personal projects
• Comfort working in cloud environments
• Clear technical communication and the ability to reason about trade-offs

Nice To Haves

• Hands-on experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with modern data stacks (ETL/ELT pipelines, orchestration, data warehouses/lakes)
• Experience with version control, CI/CD, or infrastructure-as-code concepts
• Exposure to BI or analytics tooling (e.g., Power BI)
• Prior internship or demonstrable project work showing ownership of production-quality systems

Responsibilities

• Build and maintain scalable, reliable data pipelines supporting analytics, reporting, and AI workloads
• Engineer data ingestion and transformation workflows across structured and semi-structured sources
• Implement data models and quality controls to ensure accuracy, consistency, and performance
• Deploy and monitor data workflows in cloud environments, with an emphasis on reliability and observability
• Optimize existing pipelines for performance, cost, and maintainability
• Contribute to technical documentation and design discussions with senior engineers

Benefits

• Healthcare Coverage: Comprehensive medical, dental, and vision plans.
• Time Off and Leave Policies: Generous paid time off (PTO), paid company holidays, generous parental and family leave.
• Protective Insurances: Life insurance, short- and long-term disability coverage, and accident protection.
• Compensation and Rewards: Competitive salary structures, performance-based incentives, and merit-based compensation reviews.
• Retirement Plans: 401(k) plans with company matching.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees