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

• 5 years of experience in Data Development or Data Engineering roles

• Strong insurance domain experience (P&C, Life, Health, or Specialty Insurance)

• Hands-on experience with Snowflake (data modeling, performance tuning, security, cost optimization)

• Advanced SQL skills

• Proficiency in Python for data processing and automation

• Experience building and maintaining scalable data pipelines

• Strong understanding of insurance data concepts (policies, premiums, claims, losses, exposures)

• Experience working with large, complex datasets

• Strong analytical, troubleshooting, and communication skills

Preferred / Nice-to-Have Skills

• Cloud platforms: Azure, AWS, or GCP

• Azure Data Factory, Azure Data Lake, Databricks, Synapse

• Experience with orchestration tools (Airflow, Azure Data Factory, dbt, or similar)

• Familiarity with BI and reporting tools (Power BI, Tableau, Looker)

• Experience with insurance platforms such as Guidewire, Duck Creek, Majesco

• Knowledge of data governance, metadata management, and regulatory reporting

• Experience working in Agile/Scrum environments

Education

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