Top Data Engineer Jobs in Kansas City, MO
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As a Senior Analytics Engineer at Lob, you will design data pipelines, develop data models, and collaborate with various teams to deliver actionable insights. You will implement analytics best practices, mentor engineering colleagues, and advocate for data governance and quality metrics, while leveraging your experience in data visualization and analytics tools.
As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Data Support Engineer role involves providing support for ETL processes, report generation, and data lake maintenance. Responsibilities include troubleshooting production failures, updating ETL processes, and communicating with internal business partners to resolve issues in a timely manner.
As IT Manager, you will oversee the Data Operations teams, ensuring stability and security of database technologies and leading various initiatives. Responsibilities include managing team performance, developing policies, participating in budgeting, and preparing for audits.
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 Data Engineer, you will be responsible for maintaining, cleaning, and manipulating data in operational and analytics databases. You will design and develop Snowflake data warehouse solutions, implement ETL processes, work with data suppliers, and collaborate with cross-functional teams to deliver data solutions while staying current with industry trends.
The Principal Data Engineer will design and implement end-to-end data workflows for ML modeling, improve model performance, and enhance data processing frameworks. Responsibilities include creating standards and best practices, ensuring data accuracy, and collaborating with data scientists to meet data needs.
Top Companies in Kansas City, MO Hiring Data + Analytics Roles
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