Data Engineer

Join a leading U.S.-based technology platform for the life insurance and annuities industry. Through innovative enterprise solutions and data-driven insights, the company simplifies how insurance products are bought, sold, and administered, helping millions of people protect their financial futures. With a bold, collaborative, and value-driven culture, the company manages hundreds of billions of dollars in assets under administration and partners with more than 100 insurance carriers and thousands of distributors across the market.

Responsibilities Design, develop, and optimize complex ETL pipelines that integrate large data sets from various sources. Build and maintain high-performance data models using Google BigQuery/ Snowflake and DBT for data transformation. Develop Python scripts for data ingestion, transformation, and automation. Implement and manage data workflows using Apache Airflow for scheduling and orchestration. Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, reliability, and performance. Troubleshoot and optimize data systems, identify issues, and resolve them proactively. Work on cloud-based platforms, particularly AWS, to leverage scalability and storage options for data pipelines. Ensure data integrity, consistency, and security across systems. Take ownership of end-to-end data engineering tasks while mentoring junior team members. Continuously improve processes and technologies for more efficient data processing and delivery. Act as a key contributor to developing and supporting complex data architectures.