Top Data Engineer Jobs in Kansas City, MO
As a Senior Data Engineer, you will design and implement advanced data architecture, manage high-impact data projects using technologies like Databricks and Kafka, and ensure data quality and security while collaborating with cross-functional teams to optimize data processing and scalability.
As a Data Visualization Developer, you will design and develop data visualizations that enhance user engagement and communicate key insights. You will collaborate with engineering, data, and product design teams to create compelling visual narratives, optimize visualization tools, and ensure performance across platforms.
As a Senior Data Engineer, you will design and implement data architectures, handle high-volume data processing, optimize batch and stream solutions, support data pipelines, and collaborate across teams to enhance data quality and governance.
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
The IBM Database Engineer will provide technical support and database/software implementation for Development, Testing, and Sustainment environments related to T-FADS systems. Responsibilities include managing databases, collaborating with teams, resolving technical issues, and influencing design solutions.
The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.
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The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
The Senior Advisor - Data Storytelling PM will process and analyze diverse data sources to create performance narratives that inform strategic fundraising decisions. Responsibilities include data analysis and visualization, generating insights from performance metrics, stakeholder engagement, maintaining dashboards, and training teams on analytics best practices.
The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.
The Senior Consultant - Staffing Services will provide expert services by evaluating system processes, recommending configurations, troubleshooting software systems, leading projects, and mentoring team members to meet client goals.
Top Companies in Kansas City, MO Hiring Data + Analytics Roles
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