Top Senior Level Data Engineer Jobs in Kansas City, MO

As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Data Engineer III is responsible for constructing high-quality datasets, writing SQL queries, monitoring database stability, and assisting with data governance. They lead and mentor a team, architect data management systems, and create data pipelines on AWS. They also work independently to solve complex problems and collaborate with stakeholders to develop reliable solutions.

As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.

The Senior Principal Data Engineer at Northrop Grumman will design, develop, and deploy scalable data architecture solutions while maintaining databases. Responsibilities include data mapping, ETL processes, query development, and collaborating with stakeholders to meet needs and objectives.

The Principal/Sr. Principal Data Engineer will develop data collection frameworks, administer databases, analyze performance configurations, and create scalable data pipelines while collaborating with functional teams to optimize data processes.

The Principal Data Insight Analyst will create data mining architectures, perform statistical reporting, and analyze large data sets to identify trends. Responsibilities include developing Power BI reports, collaborating with business stakeholders, ensuring data integrity, and enhancing data collection processes.

As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.

As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.