Intern, Technology - Data Engineering at Kroll in New York, NY

Summary: Kroll is a global leader in Risk and Financial Advisory services, operating at the intersection of data, technology, and complex decision-making. They 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 involves designing and implementing production-grade data pipelines and collaborating with senior engineers and data scientists. 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: SQL, Python, Data pipelines Important Skills: Cloud platforms, Data structures, Algorithms Nice-to-Have Skills: Version control, CI/CD, BI tools 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.