Top Data Engineer Jobs in Kansas City, MO

The Principal Cloud Data Engineer designs and maintains data pipelines using GCP BigQuery, ensuring data quality and leading a team of engineers while implementing best practices.

The Senior Cloud Data Engineer designs, builds, and maintains data pipelines in GCP, ensuring data quality and supporting decision-making across the organization. Responsibilities include optimizing performance, automating tasks, and collaborating with data teams.

The Data Engineer will manage MongoDB databases, optimize data pipelines in BigQuery, and ensure data quality for BI and marketing efforts.

The Data Engineer will design and develop database systems, manage data pipelines, and mentor junior teammates while ensuring project delivery meets standards.

As a Senior Data Engineer, you will design data transformation pipelines, automate data capture, and ensure data quality, collaborating with R&D and engineering teams.

The Data Engineer will design and optimize data pipelines, integrate database systems, and automate workflows while collaborating with team members to ensure data accessibility and quality.

The Data Engineer will design, develop, and optimize ETL pipelines using Matillion and Snowflake, ensuring data quality and performance while collaborating with cross-functional teams.

The Data Engineer will enhance database design, manage ETL processes, and work on data quality, providing insights to support business decisions.

The Data Engineer will design and build data pipelines, maintain the data infrastructure, collaborate with various teams, and drive data product development in a healthcare context.

Lead the design and implementation of data processing platforms, optimize data pipelines, mentor data engineering teams, and support cross-functional collaboration.

The Software Engineer will create data pipelines and web crawlers for multimodal datasets and ensure data quality through distributed computing techniques.

Design, construct, and deploy data processing pipelines using machine learning and data mining techniques. Analyze client data, develop algorithms, and extract insights from various data sources.

The Data Engineer will develop and architect data solutions in Azure, manage data migrations, and consult on database administration while collaborating with various teams.

Lead a team of data engineers to oversee client deployments, develop robust data pipelines, and contribute to architecture and strategy, ensuring high-quality data solutions.

As a Senior Data Engineer/Scientist, you'll design and maintain data pipelines, collaborate with analytics teams, and leverage SQL and Python for data manipulation, building ETL pipelines, and integrating datasets for insightful analytics.

The Staff Data Engineer will design and optimize streaming data solutions, manage existing data systems, evaluate new technologies, and ensure compliance with data regulations.

The Senior Data Engineer will design, develop, and optimize data platforms, ensuring high performance and scalability, while mentoring team members and driving operational excellence.