Data Developer with Snowflake, Insurance, Data Engineering, Python, and TALEND

Role Overview:
We are seeking an experienced Data Developer / Data Engineerwith 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: Bachelors degree in Computer Science Data EngineeringInformation Systems or a related field (or equivalent experience)