Senior Data Engineer

🕒 May 6

🇺🇸 United States – Remote

💵 $60k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Kroll

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded Kroll's nearly 100-year history

💸 Finance

🔐 Security

📋 Compliance

Finance • Security • Compliance

Kroll is a global provider of risk and financial advisory solutions. Headquartered in New York, with offices worldwide, Kroll specializes in valuation, compliance, corporate finance and restructuring, investigations and disputes, and digital technology solutions. They offer expertise in threat intelligence, financial crime prevention, enterprise risk management, cyber resilience, and environmental, social, and governance advisory. Kroll's services aim to help businesses navigate regulatory updates, manage risk, and optimize financial outcomes. Their comprehensive suite of solutions also includes managed security services, M&A advisory, and support for capital events.

📋 Description

• Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment • Develop robust, fault-tolerant ETL/ELT applications for seamless data ingestion, transformation, and distribution to enable analytics, reporting, and AI workloads • Work with different stakeholders and teams to assist with data related technical solutions and support their data infrastructure needs • Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities, ensuring data integrity, quality, and reliability • Identify and implement infrastructure re-designs to improve scalability, optimize data delivery, and automate manual workflows • Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights • Monitor, troubleshoot, and optimize jobs for performance, addressing data pipeline bottlenecks and ensuring cost efficiency

🎯 Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related field • 5+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success • Experience writing ETL/ELT jobs • Experience with Azure and Databricks Platform • Experience with Python, SQL, and REST APIs • Cloud architecture principles: compute, storage, networks, security, cost • Proficiency in using open-source tools, frameworks like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes • Knowledge of CI/CD, Git, or infrastructure-as-code concepts • Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously in an Agile environment • Understanding of how data engineering feeds into Business Intelligence and reporting tools (Power BI/Tableau) • Strong problem-solving and analytical skills • Strategic thinker and strong execution orientation • Ability to work in cross-functional teams • Attention to detail and data quality

🏖️ 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.