Top Data Engineer Jobs in Kansas City, MO

As a Python engineer on the data platform team, you'll enhance tools for data pipelining and analytics, collaborate with teams to address challenges, and improve software engineering culture at Doximity.

As a Data Engineer, you'll design, develop, and maintain data pipelines and collaborate with stakeholders to ensure data infrastructure meets their needs, while championing best practices in software engineering.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

The Data Engineer designs and maintains data pipelines, optimizes data flow, collaborates with data scientists, and enhances observability. Requires strong Python and SQL skills and experience with data lake architectures.

The Senior Data Center Linux Engineer manages Linux servers, troubleshoot issues, develops automation scripts, ensures secure configurations, and deploys containerized applications.

The Sr. Network Data Center Engineer will design and manage network infrastructure, ensuring high availability, security, and performance for virtual environments and storage systems.

The role involves building data infrastructure, maintaining ETL pipelines, collaborating with analysts, and improving data models and processes.

Design, build, and maintain scalable data pipelines and infrastructure. Collaborate with data scientists to ensure efficient data processing and analytics solutions.

The Staff Engineer will focus on finance data analysis and modeling, contributing to innovations that improve customer experience and business performance.

Build and operate a large scale data platform for real-time data distribution for crypto exchanges. Collaborate with teams and mentor members.

As a Backend Software Engineer at Coinbase, you will develop and maintain cloud provisioning services, manage projects, and mentor team members, focusing on scalable blockchain infrastructure solutions.

The Senior Software Engineer will design and implement backend infrastructure for a Web3 data platform, mentoring team members and managing project priorities.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Senior Data Engineer designs and maintains data platforms and ETL pipelines, mentors peers, and leads complex projects to enhance community civic engagement.

The Data Engineer will maintain and enhance data pipelines and manage third-party integrations in Azure and Databricks environments.

As a Senior Software Engineer, you'll architect systems, develop ETL pipelines, and design data models to support blockchain data analysis at petabyte scale. You'll collaborate with teams to enhance product offerings while ensuring high performance and availability.

The Software Engineer Intern will develop applications for analyzing real-time financial data, maintain existing software, write documentation, and collaborate with teams on data management.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

Design, build, and maintain secure data pipelines, optimize data models, ensure compliance, and troubleshoot data quality issues.

The Azure Data Platform Solution Architect designs, develops, and implements data solutions using Azure technologies, ensuring optimal performance and delivery across the enterprise.

The Sr. Data Engineer will build and optimize data pipelines, support data strategies, and leverage AI tools, with a focus on software engineering best practices.

The Senior Data Engineer will design, build, and optimize data platforms, ensuring best practices in governance, leading project execution, and mentoring junior engineers.

The Senior Data Engineer will lead the development of scalable data processing pipelines, mentor team members, and enhance AI workflows for the Material Hub platform.

Responsible for designing, developing, and maintaining data infrastructure, pipelines, and warehouses while supporting analytics and machine learning operations.

The role involves designing, building, and scaling data pipelines, collaborating with cross-functional teams, and leading technical direction. It includes mentoring team members and promoting best practices in software development.