Top Data Engineer Jobs in Kansas City, MO

The Senior Engineer will design, develop, and maintain Python packages and collaborate on improvements and new functionalities for healthcare software applications.

You will optimize blockchain data infrastructure, build high-performance RPC services, design low-latency subscription services, and collaborate with teams for seamless integration.

The Staff/Lead Data Engineer will build and manage data pipelines, ensuring data availability and quality while using technologies such as Apache Airflow and Spark.

As a Senior Data Engineer, you will build a data lakehouse, develop data pipelines, and ensure data quality and integrity across various data sources.

As a Data Infrastructure Engineer, you will build and maintain data infrastructure, develop pipelines, and collaborate across teams to support data governance and analytics.

Design and optimize data architecture and pipelines, solve complex data problems, advise and mentor teams on data standards, and ensure data security.

The Data Analytics Engineer will develop data pipelines, optimize data models, enhance analytics capabilities, ensure data governance, and collaborate with teams to drive business insights.

The Senior Software Engineer designs, develops, and deploys data-driven applications while collaborating with data scientists to translate requirements into technical solutions and maintaining high development practices.

As a Senior Software Engineer for the Data Platform, you'll design and maintain scalable data ingestion and processing systems for robot-generated datasets, enhancing analytics and performance.

The role involves supporting data migration from GCP to Azure, focusing on ETL processes, data quality assurance, and environment management.

The Senior Data Engineer will design, build, and support data products using ADF, SQL, and Python, managing data solutions on Azure or AWS.

The Senior Data Engineer will enhance and maintain data infrastructure, build scalable data pipelines, and improve data quality and integrity across the organization.

The Principal Software Engineer will drive the development and optimization of a leading HR application, focusing on backend processes and mentoring fellow engineers.

Design and implement scalable data infrastructure and services for ML teams focusing on data pipelines, APIs, and mentoring junior engineers.

The Senior Data Engineer will develop data pipelines and architecture for big data solutions, utilizing AWS and various data technologies, while collaborating within an Agile team.

The Software Engineer will develop software for sensor data recording, cloud-native processing, GIS analysis, and machine learning applications at Insight M, focusing on automation and continuous integration/deployment practices.

The Senior Data Engineer will develop and maintain data warehouses on Google BigQuery and AWS, design data pipelines, optimize data performance, and collaborate with teams for data-driven decisions.