Senior Data Engineer

BP&CNew York City, NY
Onsite

About The Position

Lead Innovation in Property & Casualty Insurance Data Solutions. We are seeking a Senior Data Engineer to spearhead our transition to a modern, AI-first data strategy tailored to the unique demands of a property & casualty (P&C) insurance carrier.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Extensive experience (5+ years) in data engineering, with proven expertise in technical development, data design, and implementation in the insurance industry, preferably within P&C.
  • Solid understanding of property & casualty insurance operations, including actuarial science, claims processing, underwriting, and pricing landscape.
  • Ability to multitask and manage competing priorities in a fast-paced, compliance-driven environment.
  • Experience implementing AI-first strategies and working with modern data platforms (e.g., Snowflake; Databricks, big data, analytics) relevant to P&C insurance.
  • Excellent communication and problem-solving skills, with the ability to translate complex business needs into actionable data solutions.

Nice To Haves

  • Experience with cloud-based data architectures commonly used in the P&C insurance industry (e.g., Snowflake, AWS).
  • Proficiency in Python, SQL, and industry-standard data engineering tools and frameworks.
  • Focuses on researching, building, and fine-tuning models from scratch or using frameworks.
  • Exposure with Generative AI, Large Language Models (LLMs), LangChain, and vector databases.
  • Experience with other advanced analytics approaches in property & casualty insurance for AI-centric products.
  • Knowledge of predictive modeling, telematics, geospatial analytics, and other advanced analytics applications in property & casualty insurance.

Responsibilities

  • Lead the design and implementation of AI-powered data products and solutions that address business goals in underwriting, claims, risk management, and customer experience within the P&C insurance sector.
  • Define, develop, and register curated, reusable data products for lines of business such as auto, home, agriculture, commercial, and specialty insurance, enabling rapid insights and novel analytics across teams.
  • Collaborate with data analysts, data scientists, actuaries, underwriters, claims specialists, and business leaders to gather requirements and deliver scalable, secure, and reliable data solutions in compliance with insurance regulations.
  • Establish best practices for data engineering specific to P&C insurance, ensuring adherence to engineering excellence, data quality, governance, and privacy standards.
  • Mentor team members and foster a culture of innovation, continuous improvement, and cross-disciplinary collaboration.

Benefits

  • annual bonus based on company and individual performance
  • generous benefits package
  • health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities
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