Data Developer w' P&C Insurance

Data Developer with Snowflake, P&C Insurance, Data Engineering, Python, and TALEND

Role Overview

We are seeking an experienced Data Developer / Data Engineer with strong insurance domain expertise to design, develop, and maintain scalable data solutions supporting analytics, reporting, and operational use cases. This role requires hands-on experience with modern cloud data platforms-including Snowflake-and strong programming skills in Python, along with deep understanding of insurance data.

The ideal candidate will bridge technical data engineering capabilities with insurance business knowledge to deliver high-quality, reliable data assets.

Key Responsibilities

• Design, build, and maintain end-to-end data engineering pipelines (ETL / ELT) for insurance data
• Develop and optimize data solutions using Snowflake as a cloud data warehouse
• Use Python to support data ingestion, transformation, automation, and orchestration
• Integrate data from core insurance systems (Policy, Claims, Billing, Underwriting, Reinsurance)
• Model insurance data for analytical, actuarial, financial, and regulatory reporting use cases
• Write complex, high-performance SQL queries and transformations
• Ensure data quality, validation, lineage, and governance standards
• Collaborate with business stakeholders, analysts, and architects to translate insurance requirements into technical solutions
• Troubleshoot and resolve data pipeline, performance, and data integrity issues
• Document data models, pipelines, and best practices

Required Qualifications

Preferred / Nice-to-Have Skills

Education

Bachelor's degree in Computer Science, Data Engineering,Information Systems, or a related field (or equivalent experience)