About mPulse: mPulse is a leader in conversational AI and member engagement for healthcare. We partner with health plans to engage members, close care gaps, and drive better health outcomes. Our platform serves millions of Americans and is built on the belief that better conversations lead to better health.

The Role: We are seeking a Data Engineer II to join our Data Engineering team. In this role, you will design, develop, and maintain scalable data pipelines and platform capabilities that support our analytics, product, and AI/ML initiatives. Our data platform processes high-volume, high-velocity healthcare data, enabling insights and data-driven solutions for a growing client base. You will collaborate with Data Operations, Product, Analytics, and Data Science teams to ensure data reliability, performance, and alignment with business needs. The ideal candidate has strong experience with SQL, Python, dbt, and Airflow, and a solid foundation in data warehousing with a passion for solving complex data challenges in healthcare.

About mPulse: mPulse is a leader in conversational AI and member engagement for healthcare. We partner with health plans to engage members, close care gaps, and drive better health outcomes. Our platform serves millions of Americans and is built on the belief that better conversations lead to better health.

The Role: We are seeking a Data Engineer II to join our Data Engineering team. In this role, you will design, develop, and maintain scalable data pipelines and platform capabilities that support our analytics, product, and AI/ML initiatives. Our data platform processes high-volume, high-velocity healthcare data, enabling insights and data-driven solutions for a growing client base. You will collaborate with Data Operations, Product, Analytics, and Data Science teams to ensure data reliability, performance, and alignment with business needs. The ideal candidate has strong experience with SQL, Python, dbt, and Airflow, and a solid foundation in data warehousing with a passion for solving complex data challenges in healthcare.