Lead Data Engineer in Insurance

Step into a pivotal role as a Lead Data Engineer with Iris Software, focusing on the insurance sector. Leverage your SQL and Python skills for efficient data processing and analytics.

Iris’s Fortune 100 client seeks a Lead Data Engineer with 5-8 years of expertise in data engineering, primarily within the insurance domain. Candidates will design scalable ETL/ELT pipelines and optimize cloud-based platforms like Snowflake. Your role will directly impact data integration and analytics initiatives, enhancing business operations.

Key Responsibilities:

• • Design and maintain scalable ETL/ELT pipelines
• • Develop optimized Stored Procedures and dbt models
• • Utilize cloud platforms like Snowflake for data processing
• • Collaborate with Data Architects and Business Analysts
• • Perform data quality validation and troubleshooting

Requirements:

• • 5-8 years of Data Engineering experience
• • Strong expertise in SQL and Python
• • Knowledge of insurance data and business processes
• • Hands-on experience with workflow orchestration tools
• • Excellent communication skills for cross-functional collaboration
• Drive impactful data solutions with Iris Software and make a difference in the insurance industry.