Top Data Engineer Jobs in Kansas City, MO

As a Data Software Engineer III at TetraScience, you will develop high-performance data connectors for scientific data acquisition, ensuring scalability, resiliency, and high availability while following agile methodologies.

Design, build, and maintain high-scale data ingestion pipelines. Collaborate with product management to define requirements and deploy resources in cloud data providers.

Lead the technical direction of the data platform, mentor team members, and collaborate across teams to implement best practices and design scalable systems.

The Lead Data/ML Engineer will design and maintain scalable data pipelines and AI systems, ensuring data reliability and collaboration with product teams.

As a Senior Data Engineer, you'll develop data solutions, manage scalable data pipelines, and drive insights for various teams using machine learning and AI.

The Senior Software Engineer will enhance the data pipeline for audio signal processing, ensuring low latency and scalability while working with cross-functional teams to develop new features.

As a Senior Data Engineer, you'll enhance data infrastructure, manage ETL workflows, and provide insights to support ad buying processes at MNTN.

As a Staff Data Engineer at Fi, you'll design scalable data infrastructure, develop data pipelines, and support machine learning initiatives for connected pet technology.

As a Machine Learning Engineer, you will design systems for safe data ingestion and optimize data usage to enhance models and products, collaborating closely with the Product team and customers.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

As a Senior Software Engineer, you will design scalable data pipelines, engineer their infrastructure, and build secure APIs while collaborating across teams to ensure integration with third-party data sources.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

The role involves architecting and maintaining scalable data pipelines, ensuring data quality, and collaborating on data strategy. Ideal candidates have experience with AWS services and data governance in healthcare.

Lead the design and implementation of a modern data architecture, manage ETL pipelines, ensure data quality, and collaborate with cross-functional teams.

The Staff Data Engineer will design and implement data ingestion and transformation solutions on cloud platforms while providing technical leadership and support to product teams.

Develop and enhance high-volume data pipelines with ML capabilities, while collaborating with engineering teams to integrate data science into products and applications.

Lead product vision for ranking systems and Data API. Collaborate with teams to drive innovation, manage products, and identify investment opportunities.

The role involves building and optimizing data pipelines, collaborating with teams, and ensuring high performance and maintainability of data systems.

The Senior Data Engineer will build and maintain data pipelines, ensure data quality, and collaborate across teams to enhance the data platform.

As a Senior Data Engineer, you'll build ETL pipelines, contribute to architecture, enforce engineering best practices, and collaborate with teams to support AI-powered features.

The Data Visualization Developer will create business intelligence solutions, manage data models, and develop dashboards to support project controls within the construction management environment.

The Senior Data Applications Engineer will create data-driven applications with React and Python, manage BI tools, and enhance data accessibility for users.

The Senior Data Engineer will design scalable data models, build ELT pipelines, and apply AI techniques while mentoring team members and driving innovation in data solutions for nonprofits.

Develop data pipelines and tools supporting analytics and machine learning, collaborating across departments to improve data access and governance, while leading ETL processes and mentoring junior team members.

Lead the development of a data platform, enhancing data processing and query engines while mentoring team members and managing production issues.