Senior Data Engineer

🕒 Maio 6

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $60.000 - $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Kroll

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em Kroll's nearly 100-year history

💸 Finanças

🔐 Segurança

📋 Conformidade

Finance • Security • Compliance

A Kroll é um provedor global de soluções de consultoria em riscos e finanças. Com sede em Nova York e escritórios no mundo todo, a Kroll é especializada em Valuation, Compliance, finanças corporativas e reestruturação, investigações e disputas, além de soluções de tecnologia digital. A empresa oferece expertise em Threat Intelligence, prevenção a crimes financeiros, gestão de riscos corporativos (ERM), Cyber Resilience e consultoria em ESG. Os serviços da Kroll têm como objetivo ajudar as empresas a acompanhar atualizações regulatórias, gerenciar riscos e otimizar resultados financeiros. Seu portfólio abrangente de soluções também inclui serviços gerenciados de segurança (Managed Security Services), assessoria em M&A e suporte para eventos de capital.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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.