Top Remote Senior Level Data Engineer Jobs in Milwaukee, WI

The Senior Mainframe IMS Database Administrator oversees maintenance, design, and performance of client databases in IMS environments, ensuring optimal efficiency and recovery strategies.

The Data Modeling and Integration Lead is responsible for shaping data management practices, building data models, integrating systems, and creating data products and dashboards to support organizational decision-making and impact.

The Senior Technical Program Manager will drive strategic initiatives within the Customer Platform Engineering team to enhance engineering and platform capabilities, ensuring timely delivery of complex technical programs while optimizing processes and fostering operational excellence through continuous improvement.

Lead data conversion processes, provide expert guidance on Oracle Cloud, and ensure the successful implementation of conversion solutions while collaborating with stakeholders.

The Solutions Architect will support Snowflake's professional services team by deploying solutions, guiding customers through application development, and collaborating with internal teams to enhance products. Responsibilities include demonstrating Snowflake best practices and solving technical challenges with customers.

The Senior Director, Data Engineering leads technical strategy and customer success for phData's strategic clients, driving delivery excellence and account growth.

The ETL Developer designs and maintains healthcare data exchange solutions, ensuring compliance with regulations and optimizing data workflows.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

The role involves designing, implementing and improving machine learning models for semantic search and NLP, engaging with the community and cross-functional teams.

The Senior Analytics Engineer will lead the optimization of analytics pipelines, drive data architecture, and establish best practices in analytics engineering, enhancing analytics reliability across the organization.