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.