Manager, Data Engineer

Vaga não está no LinkedIn

🕒 Maio 28

🏖️ New Jersey, New York, +2 estados a mais – Remoto

🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🔔 Pennsylvania – Remote

💵 $100.500 - $174.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Arch Capital Group Ltd.

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2001

💸 Finanças

🏢 Corporativo

Insurance • Finance • Enterprise

Arch Capital Group Ltd. é uma líder global em fornecer soluções de seguros especializados, resseguros e seguros hipotecários. A Arch oferece serviços de gerenciamento e financiamento de riscos em diversas indústrias e opera através de negócios distintos na América do Norte, Europa e Austrália. A empresa é conhecida por sua abordagem inovadora ao risco, utilizando análises de ponta para direcionar e precificar riscos de forma eficaz. O portfólio e as operações do Arch Capital Group refletem seu compromisso com a sustentabilidade e governança, enquanto busca continuamente novas oportunidades de mercado. Além disso, a Arch Capital é reconhecida por sua solidez financeira e pelo aumento do valor para os acionistas através de crescimento estratégico e investimentos.

Descrição

• Lead delivery of high-quality data solutions by partnering with stakeholders and coaching data engineers. • Own end-to-end data engineering delivery across the project lifecycle. • Build strong partnerships across the organization to align priorities and deliver data-related goals. • Design clear, analytics-ready data structures by anticipating downstream analytical needs. • Evaluate and adopt new technologies and data sources to improve capability and efficiency. • Automate data ingestion and integration to reliably connect internal and external data sources. • Document data sources, definitions, and technical solutions to support transparency and reuse. • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring). • Apply agentic, AI-assisted coding practices to accelerate delivery while maintaining appropriate controls. • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

🎯 Requisitos

• 6+ years’ experience of hands-on development in Python and distributed processing environments (e.g., Spark) • 2–3+ years of technical leadership or project delivery ownership experience • Hands-on Databricks experience highly preferred • Strong programming expertise in Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices • Apache Spark proficiency (PySpark preferred) and experience with distributed data processing, including building scalable pipelines and optimizing performance for large-scale datasets • Cloud data platform proficiency (Snowflake, Databricks, Azure ecosystem fundamentals) • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization) • Data quality and observability practices (testing, reconciliation, monitoring) • Analytics & AI Readiness • Insurance data modeling for analytics and actuarial-ready data structures • MLOps familiarity supporting operationalized analytics and models • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models) • Business definition standardization for reuse across BI and AI use cases.

🏖️ Benefícios

• multiple medical plans plus dental, vision and prescription drug coverage • a competitive 401k with generous matching • PTO beginning at 20 days per year • up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer • basic Life and AD&D Insurance as well as Short and Long-Term Disability • Paid Parental Leave of up to 10 weeks • Student Loan Assistance and Tuition Reimbursement • Backup Child and Elder Care • and more.