Manager, Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 2 mois

🏖️ New Jersey, New York, +2 états de plus – Distant

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

💵 $100 500 - $174 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

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Arch Capital Group Ltd.

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2001

💼 Conseil

📦 Logistique

🛡️ Assurance

Consulting • Logistics • Insurance

Arch Capital Group Ltd. est un leader mondial dans la fourniture de solutions d'assurance spécialisée, réassurance et assurance hypothécaire. Arch propose des services de gestion des risques et de financement des risques à travers un éventail d'industries et opère via des entreprises distinctes en Amérique du Nord, en Europe et en Australie. La société est réputée pour son approche innovante du risque, utilisant des analyses de pointe pour cibler et tarifer les risques de manière efficace. Le portefeuille et les opérations d'Arch Capital Group reflètent leur engagement envers la durabilité et la gouvernance tout en recherchant continuellement de nouvelles opportunités de marché. De plus, Arch Capital est reconnu pour sa solidité financière et l'augmentation de la valeur pour les actionnaires grâce à une croissance stratégique et des investissements.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.