Top Senior Level Data Engineer Jobs in Kansas City, MO

The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.

The Geospatial Analytics Data Platform Architect will design and implement geospatial data architectures for large-scale analytics and machine learning using GCP. The role includes establishing data governance frameworks, leading cross-functional teams, and providing geospatial expertise to create innovative data solutions.

The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.

As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.

Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.