Top Data Engineer Jobs in Kansas City, MO

The GCP Data Engineer Senior Manager will lead data infrastructure development, execute data pipelines, and collaborate with clients on data solutions. Responsibilities include architecting scalable systems, applying data governance, and coaching teams to enhance data capabilities.

As a Principal Data Engineer, you'll guide the direction of the Data Warehouse, architect, implement, and optimize ingestion pipelines, and collaborate across teams to ensure data-driven decision-making. You'll also mentor colleagues and ensure compliance with regulatory standards while managing high-volume data systems.

The Data Engineer role focuses on integrating client data systems, developing data pipelines, and leveraging new technologies to enhance healthcare analytics.

As a Data Engineer, you'll design and maintain data platforms and pipelines for analytics, collaborate with data scientists, and enhance technical infrastructure using AI technologies.

As a Data Engineer, you will build and refine data products, improve data quality, and integrate data from various sources while collaborating with cross-functional teams.

Lead the centralized data engineering team, build data infrastructure, create scalable processes, and drive innovation across the organization.

The Data Engineer is responsible for designing, developing, and maintaining database structures and data pipelines, writing SQL queries, and optimizing ETL processes.

The Data Engineer will design, build, and maintain data pipelines, analyze data for insights, and collaborate with teams to enhance data quality and documentation.

The Data Platform Engineer will build user-friendly tools for data teams, expand ETL frameworks, and maintain data cataloging for efficient governance and access.

As a Data Engineer II, you will design and maintain data solutions, manage data pipelines, collaborate with teams for data architecture, and educate others on data practices.

As a Senior Data Platform Engineer, you will enhance developer tools, improve data quality and governance, and ensure infrastructure reliability by collaborating across teams.

As a Senior Data Engineer, you will develop and maintain ETL pipelines, design scalable systems, troubleshoot production issues, and mentor team members while ensuring best practices are followed.

The role involves designing, building, and overseeing data processes, ensuring data accuracy, and coordinating with teams to improve business outcomes through data analysis and ETL tools.

The Staff Engineer will lead initiatives in system reliability, guide architectural decisions, mentor engineers, and design improvements for distributed query systems in MongoDB Atlas.

The Senior Software Engineer will design and maintain data infrastructure, coordinate with analysts on ETL processes, and collaborate on data products while ensuring data quality and availability.

As a Senior Data Platform Engineer, you'll build scalable infrastructure, optimize data workflows, and develop tools for data accessibility across teams.

As a Data Operations Engineer, you will design and implement ETL data pipelines, ensuring data quality and collaborating with cross-functional teams, while developing skills in data analytics.